CN109360112B

CN109360112B - Mental disease authentication method based on data processing and related equipment

Info

Publication number: CN109360112B
Application number: CN201811264894.XA
Authority: CN
Inventors: 王以泉
Original assignee: Ping An Medical and Healthcare Management Co Ltd
Current assignee: Ping An Medical and Healthcare Management Co Ltd
Priority date: 2018-10-27
Filing date: 2018-10-27
Publication date: 2024-06-25
Anticipated expiration: 2038-10-27
Also published as: CN109360112A

Abstract

The embodiment of the invention discloses a mental disease authentication method and related equipment based on data processing, wherein the method comprises the following steps: and receiving a qualification authentication request of the mental diseases from the user to be authenticated, wherein the qualification authentication request carries qualification authentication data of the user to be authenticated aiming at the mental diseases. Further, the server may detect whether the qualification data has detection data associated with the target psychotic disorder authentication rule, and when the server detects that the qualification data has detection data, analyze the detection data to determine whether the detection data matches the target psychotic disorder authentication rule, if the server determines that the detection data matches the target psychotic disorder authentication rule, determine that qualification authentication of the psychotic disorder of the user to be authenticated is successful, and send a medical insurance reimbursement instruction for the target psychotic disorder to the medical insurance platform. The invention is beneficial to improving the authentication efficiency of mental diseases.

Description

Mental disease authentication method based on data processing and related equipment

Technical Field

The invention relates to the technical field of computers, in particular to a mental disease authentication method based on data processing and related equipment.

Background

At present, manual authentication is generally adopted when qualification authentication is carried out on mental diseases of ginseng and security personnel, and the manual authentication mode is complicated. For the social security staff, the manual authentication mode can increase the workload of the staff and has lower efficiency. For the paramedics, the manner of manual authentication often requires the paramedics to wait for a longer period of time to transact the mental disorder authentication qualifications.

Disclosure of Invention

The embodiment of the invention provides a mental disease authentication method and related equipment based on data processing, which can improve the authentication efficiency of mental diseases.

In a first aspect, an embodiment of the present invention provides a method for authenticating mental diseases based on data processing, where the method is applied to a server, and the method includes:

Receiving a qualification authentication request of a mental disease from a user to be authenticated, wherein the qualification authentication request carries qualification authentication data of the user to be authenticated aiming at the mental disease;

detecting whether detection data associated with a target mental disease authentication rule exists in the qualification authentication data, wherein the target mental disease authentication rule is any one of a plurality of preset mental disease authentication rules;

when the detection data are detected to exist in the qualification certification data, analyzing the detection data to determine whether the detection data are matched with the target mental disease certification rule;

If the detection data is matched with the target mental disease authentication rule, successful qualification authentication of the mental disease of the user to be authenticated is determined, and a medical insurance reimbursement instruction of the target mental disease is sent to a medical insurance platform, wherein the medical insurance reimbursement instruction is used for indicating the medical insurance platform to reimburse the diagnosis and treatment expense of the target mental disease of the user to be authenticated.

In one embodiment, the specific implementation manner of analyzing the detection data to determine whether the detection data matches the target mental disease authentication rule is: analyzing the detection data to determine one or more disease symptoms of the disease suffered by the user to be authenticated; counting the number of disease symptoms of the one or more disease symptoms that are the same as the preset disease symptoms; judging whether the quantity meets the quantity condition indicated by the target mental disease authentication rule; and if the quantity meets the quantity condition, determining that the detection data is matched with the target mental disease authentication rule.

In one embodiment, the specific implementation manner of analyzing the detection data to determine whether the detection data matches the target mental disease authentication rule is: analyzing the detection data to determine M disease symptoms of the disease suffered by the user to be authenticated, wherein M is an integer greater than 0; detecting whether M is larger than or equal to a preset number corresponding to a first preset disease symptom, wherein the first preset disease symptom is a disease symptom of N before priority ordering in K preset disease symptoms corresponding to the target mental disease authentication rule, K is a positive integer larger than or equal to N, and N is an integer larger than 0; when the M is greater than or equal to the preset number, determining whether the number of disease symptoms of the M disease symptoms that are the same as the first preset disease symptom is equal to the preset number; and if the number of the disease symptoms which are the same as the first preset disease symptoms in the M disease symptoms is equal to the preset number, determining that the detection data is matched with the target mental disease authentication rule.

In one embodiment, the qualification request further carries user information of the user to be authenticated, the user information includes a user identifier and biometric information, before the server detects whether detection data associated with a target mental disease authentication rule exists in the qualification data, target biometric sample information matched with the user identifier can be obtained from a preset database, the target biometric sample information is compared with the biometric information, and biometric sample information corresponding to each user identifier is stored in the preset database; and if the comparison results in that the target biological characteristic sample information is matched with the biological characteristic information, triggering the step of detecting whether detection data associated with a target mental disease authentication rule exists in the qualification authentication data.

In one embodiment, the qualification request carries transmission source information corresponding to the qualification request, and before the server detects whether detection data associated with a target mental disease authentication rule exists in the qualification data, the server may further acquire the transmission source information from the qualification request, and analyze the transmission source information to determine whether a transmission source corresponding to the transmission source information is the same as a preset transmission source; and if the sending source corresponding to the sending source information is determined to be the same as the preset sending source, triggering the step of detecting whether the detection data associated with the target mental disease authentication rule exists in the qualification authentication data.

In one embodiment, the server analyzes the detection data to determine whether the detection data is matched with the target mental disease authentication rule, and if the detection data is not matched with the target mental disease authentication rule, a prompt message is output, wherein the prompt message is used for prompting the user to be authenticated to input target detection data and the purpose of the target detection data, and the target detection data is detection data corresponding to any one of the one or more preset mental disease authentication rules; and receiving the target detection data, and judging whether the user to be authenticated has the qualification of the target mental disease according to the target detection data.

In one embodiment, the qualification request is sent by the user to be authenticated through a medical insurance platform, the qualification request further carries user information of the user to be authenticated, and the server may further generate a target mental disease label after determining that qualification for mental diseases of the user to be authenticated is successful, where the target mental disease label is used to identify that the user to be authenticated has the target mental disease; and generating medical insurance reimbursement instructions for the target mental diseases according to the target mental disease labels and the user information.

In a second aspect, an embodiment of the present invention provides a data processing based mental disorder authentication apparatus comprising means for performing the method of the first aspect described above.

In a third aspect, an embodiment of the present invention provides a server, including a processor, a network interface, and a memory, where the processor, the network interface, and the memory are connected to each other, and the network interface is controlled by the processor to send and receive messages, and the memory is used to store a computer program that supports the server to perform the method described above, where the computer program includes program instructions, and where the processor is configured to invoke the program instructions to perform the method of the first aspect described above.

In a fourth aspect, embodiments of the present invention provide a computer readable storage medium storing a computer program comprising program instructions which, when executed by a processor, cause the processor to perform the method of the first aspect described above.

In the embodiment of the invention, the server can receive the qualification authentication request of the mental diseases from the user to be authenticated, wherein the qualification authentication request carries qualification authentication data of the user to be authenticated aiming at the mental diseases. Further, the server may detect whether the qualification data has detection data associated with the target psychotic disorder authentication rule, and when the server detects that the qualification data has detection data, analyze the detection data to determine whether the detection data matches the target psychotic disorder authentication rule, if the server determines that the detection data matches the target psychotic disorder authentication rule, determine that qualification authentication of the psychotic disorder of the user to be authenticated is successful, and send a medical insurance reimbursement instruction for the target psychotic disorder to the medical insurance platform. The invention is beneficial to improving the authentication efficiency of mental diseases.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic diagram of a mental disease authentication system based on data processing according to an embodiment of the present invention;

Fig. 2 is a schematic flow chart of a mental disease authentication method based on data processing according to an embodiment of the present invention;

FIG. 3 is a flowchart of another mental disorder authentication method based on data processing according to an embodiment of the present invention;

FIG. 4 is a flowchart of another mental disorder authentication method based on data processing according to an embodiment of the present invention;

Fig. 5 is a schematic block diagram of a mental disease authentication device based on data processing according to an embodiment of the present invention;

Fig. 6 is a schematic block diagram of a server according to an embodiment of the present invention.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

Referring to fig. 1, a schematic structure diagram of a mental disease authentication system based on data processing according to an embodiment of the present invention is shown, where the mental disease authentication system may be used for qualification authentication of mental diseases of a user to be authenticated, where the mental diseases may include schizophrenia, paranoid type mental disorder, mood disorder, and the like. As shown in fig. 1, the mental disorder authentication system may include a server 101 and a server 102. The server 101 may be a server corresponding to a mental disease authentication platform, and may be used to provide a mental disease authentication related service. The server 102 may be a server corresponding to a medical insurance platform, and may be used for providing relevant services of medical insurance services, such as medical insurance reimbursement corresponding to mental diseases. The mental disease authentication platform may provide an interface for the medical insurance platform to call, that is, the server 101 and the server 102 may perform data interaction through the interface call.

In one embodiment, a user to be authenticated can submit qualification data of a mental disorder through a medical insurance platform, and submit a qualification request of the mental disorder, wherein the qualification request of the mental disorder carries the qualification data of the user to be authenticated for the mental disorder. Further, after receiving the qualification authentication request of the mental disease of the user to be authenticated, the corresponding server 102 of the medical insurance platform may send the qualification authentication request of the mental disease to the corresponding server 101 of the mental disease authentication platform by calling a corresponding interface. Further, after receiving a qualification request of a mental disease carrying the qualification data from a user to be authenticated, the server 101 may detect whether detection data associated with a target mental disease authentication rule exists in the qualification data, and when the detection data exists in the qualification data, analyze the detection data to determine whether the detection data matches the target mental disease authentication rule, if the detection data matches the target mental disease authentication rule, determine that the qualification of the mental disease of the user to be authenticated is successful, and send a medical insurance reimbursement instruction of the target mental disease to the server 102 corresponding to the medical insurance platform. Wherein the target mental disease authentication rule is any one of a plurality of preset mental disease authentication rules.

Referring to fig. 2, fig. 2 is a flowchart of a data processing-based mental disease authentication method according to an embodiment of the present invention, where the method is applied to a server, and as shown in the drawing, the data processing-based mental disease authentication method may include:

201. The server receives a qualification authentication request of the mental diseases from the user to be authenticated, wherein the qualification authentication request carries qualification authentication data of the user to be authenticated aiming at the mental diseases.

The server may be a server corresponding to a mental disease authentication platform, where the server and a third platform have previously established communication connection, and the third platform may be a medical insurance platform, for example. In one embodiment, it is desirable to determine that the user to be authenticated is eligible for a mental disorder before the user to be authenticated is subject to medical insurance reimbursement for the mental disorder. In this case, the user to be authenticated may submit qualification data for the mental disease authentication itself through the medical insurance platform, and submit a qualification request for the mental disease carrying the qualification data. Further, after receiving the qualification authentication request, the medical insurance platform can send the qualification authentication request of the mental diseases carrying the qualification authentication data to a server corresponding to the mental disease authentication platform. Further, after receiving the qualification authentication request of the mental disease, the server can acquire qualification authentication data for the mental disease submitted by the user to be authenticated.

202. The server detects whether detection data associated with the target mental disease authentication rule exists in the qualification authentication data. The target mental disease authentication rule is any one of a plurality of preset mental disease authentication rules.

In one embodiment, a developer may pre-configure one or more mental disorder certification rules, each mental disorder certification rule for determining a mental disorder. Wherein each mental disorder certification rule includes a respective assessment item, which may be a symptom of a disorder, and a assessment criterion. In this case, the server may detect whether or not detection data associated with all the evaluation items corresponding to the target psychotic disorder authentication rule exists in the qualification data, and if detection data associated with all the evaluation items corresponding to the target psychotic disorder authentication rule exists, determine that detection data associated with the target psychotic disorder authentication rule exists in the qualification data.

Illustratively, the developer has preconfigured 3 kinds of mental disorder authentication rules, namely, schizophrenia authentication rules, paranoid type mental disorder authentication rules and mood disorder authentication rules. Wherein each mental disorder certification rule includes a rating term that is a symptom of a disorder. The disease symptoms corresponding to the schizophrenia authentication rule include: c45 associative disorders, C46 delusions and C47 affective disorders; disease symptoms corresponding to paranoid type psychotic disorder authentication rules include: delusions of the C56 system and C58 organic mental disorders; the disease symptoms corresponding to the mood disorder authentication rules include: c61 corresponds to mania for 1 week or more and C65 has psychotic disorder with independent substance. When the target psychotic disorder authentication rule is a schizophrenia authentication rule, the detection data associated with all the evaluation items corresponding to the target psychotic disorder authentication rule are detection data corresponding to C45 association disorder, C46 delusions, and C47 affective disorder. When the target psychotic disorder authentication rule is a paranoid type psychotic disorder authentication rule, the detection data associated with all the evaluation items corresponding to the target psychotic disorder authentication rule are detection data corresponding to C56 system delusions and C58 organic psychotic disorders. When the target psychotic disorder authentication rule is a mood disorder authentication rule, the detection data associated with all the evaluation items corresponding to the target psychotic disorder authentication rule is detection data corresponding to mental disorder caused by C61 meeting mania for 1 week or more and C65 having an independent substance.

203. When the server detects that the detection data exists in the qualification certification data, the detection data is analyzed to determine whether the detection data matches with the target mental disease certification rule.

204. If the server determines that the detection data is matched with the target mental disease authentication rule, the server determines that qualification authentication of mental diseases of the user to be authenticated is successful, and sends a medical insurance reimbursement instruction of the target mental diseases to the medical insurance platform. The medical insurance reimbursement instruction is used for indicating the medical insurance platform to reimburse the diagnosis and treatment cost of the target mental diseases of the user to be authenticated.

In one embodiment, the target mental disorder certification rule includes one or more evaluation items and evaluation criteria, and the evaluation items may be a disease symptom (i.e., a preset disease symptom corresponding to the target mental disorder certification rule). The evaluation criterion may be, for example, that the number of disease symptoms of the disease suffered by the user to be authenticated (hereinafter referred to as target number) is greater than a preset number threshold (e.g. 3) as the number of disease symptoms of the preset disease symptoms. In this case, when the server detects that the detection data exists in the qualification certification data, it may be determined whether the detection data meets the evaluation criterion corresponding to the target mental disease certification rule, and if so, it is determined that the detection data matches with the target mental disease certification rule, thereby determining that the user to be certified has the qualification of the target mental disease corresponding to the target mental disease certification rule.

For example, when the target psychotic disorder authentication rule is a mood disorder authentication rule, it may be determined that the user to be authenticated is eligible for mood disorder. When the target psychotic disorder authentication rule is a paranoid psychotic disorder authentication rule, it is possible to determine that the user to be authenticated has qualification for paranoid psychotic disorder. When the target psychotic disorder authentication rule is a schizophrenia authentication rule, it is possible to determine that the user to be authenticated has the qualification of schizophrenia.

In one embodiment, a developer may set different mental disorder certification rules (i.e., preset mental disorder certification rules) for different areas. For example, the server may pre-establish each preset mental disease authentication rule) to each area, and the one-to-one correspondence may be as shown in table 1-1.

TABLE 1-1

Region(s)	Authentication rules for mental diseases
		Shenzhen (Shenzhen)	Authentication rule 01
Guangzhou style	Authentication rules 02
		Shanghai	Authentication rules 03
Zhejiang river	Authentication rules 04

In one embodiment, the qualification request further carries user information of the user to be authenticated. The server may determine a medical insurance office of the user to be authenticated according to the user information, further determine a target mental disease authentication rule corresponding to the area to which the medical insurance office belongs according to a one-to-one correspondence between the authentication rule of each mental disease and each area, and further execute subsequent steps 202 to 204 by adopting the target mental disease authentication rule.

In one embodiment, the qualification request is sent by the user to be authenticated through the medical insurance platform, and the qualification request also carries user information of the user to be authenticated. In this case, after determining that the qualification authentication of the mental disease of the user to be authenticated is successful, the server may generate a target mental disease label for identifying that the user to be authenticated has the qualification of the target mental disease. Further, the server can generate a medical insurance reimbursement instruction for the target mental diseases according to the target mental disease label and the user information, and send the medical insurance reimbursement instruction to the medical insurance platform, so that the medical insurance platform carries out medical insurance reimbursement processing of the target mental diseases for the user to be authenticated according to the medical insurance reimbursement instruction.

In one embodiment, different mental diseases correspond to different medical insurance reimbursement treatments. In this case, after the server determines that the user has the qualification of a certain type of mental disease (i.e., the target mental disease), the disease identifier of the mental disease may be added to the user information of the user, and the user information after the disease identifier is added may be sent to the medical insurance platform. Further, after receiving the user information added with the disease identifier, the medical insurance platform can identify the disease identifier to determine that the user has qualification of the mental diseases, and further perform medical insurance reimbursement treatment of the mental diseases on the user in a reimbursement treatment mode corresponding to the mental diseases.

In one embodiment, the qualification request is sent by the user to be authenticated through the medical insurance platform, the qualification request further carries user information of the user to be authenticated, and the target mental disease label is generated after the qualification of the mental disease of the user to be authenticated is determined to be successful before the server sends the medical insurance reimbursement instruction of the target mental disease to the medical insurance platform, where the target mental disease label is used for identifying that the user to be authenticated has the target mental disease. Further, the server may generate a medical insurance reimbursement instruction for the target psychotic disorder based on the target psychotic disorder tag and the user information.

Referring to fig. 3, fig. 3 is a flowchart of another data processing-based mental disease authentication method according to an embodiment of the present invention, where the method is applied to a server, and as shown in the drawing, the data processing-based mental disease authentication method may include:

301. The server receives a qualification authentication request of the mental diseases from the user to be authenticated, wherein the qualification authentication request carries qualification authentication data of the user to be authenticated aiming at the mental diseases.

302. The server detects whether detection data associated with the target mental disease authentication rule exists in the qualification authentication data.

The specific implementation manner of step 301 to step 302 may be referred to the description of step 201 to step 202 in the above embodiment, and will not be repeated here.

303. When the server detects that the detection data exists in the qualification certification data, the detection data is analyzed to determine one or more disease symptoms of the disease suffered by the user to be certified.

303. The server counts the number of disease symptoms of the one or more disease symptoms that are the same as the preset disease symptoms.

304. The server judges whether the number satisfies a number condition indicated by the target psychotic disorder authentication rule.

305. If the number meets the number condition, the server determines that the detection data matches the target mental disease authentication rule.

In one embodiment, the preset psychotic disorder authentication rules may include 3 types, that is, a first preset psychotic disorder authentication rule, a second preset psychotic disorder authentication rule, and a third preset psychotic disorder authentication rule, each of which is used to determine a type of psychotic disorder. Wherein, each preset mental disease authentication rule corresponds to the number condition and the preset disease symptoms of the user. Illustratively, the first preset psychotic disorder authentication rules may be as shown in table 3-1 for determining schizophrenia, the second preset psychotic disorder authentication rules may be as shown in table 3-2, and the third preset psychotic disorder authentication rules may be as shown in table 3-3.

TABLE 2-1

TABLE 2-2

Tables 2 to 3

In one embodiment, the target psychotic disorder certification rule is a schizophrenia certification rule, which is shown in table 3-1. Wherein: a C45-associated disorder, a C46 delusions, a C47-affective disorder, a C48 hallucinations, a C49-behavioural disorder, a C50 hypovolemia, a C51-psychotic disorder with a period of duration of more than 1 month, a C52-brain-organic-free psychotic disorder, a C53-body-disorder-induced psychotic disorder, a C54-substance-free psychotic disorder, a C55-substance-independent psychotic disorder, and a C56-substance-free psychotic disorder with impaired self-awareness and/or social function as preset disease symptoms corresponding to the rule of authenticating schizophrenia. The condition that C45.about.C50 >2+ (C51.about.C55) is the number condition corresponding to the rule for authenticating schizophrenia (namely, the condition for authenticating schizophrenia) means that the first number of the first target symptoms in the symptoms of C45.about.C50 exists in the user, and the sum of the second number of the second target symptoms in the symptoms of C51.about.C55 exists in the user and 2 is larger. In this case, when the server detects that the detection data exists in the qualification data, the detection data is analyzed, and it is determined that the disease symptoms of the disease suffered by the user to be authenticated include 7 disease symptoms such as C45 association disorder, C46 delusions, C47 affective disorder, C48 hallucinations, C49 behavioral disorder, C50 hypovolemia and C52 brain-free organic mental disorder, and further, the server compares the 7 disease symptoms with preset disease symptoms one by one, so as to obtain 7 disease symptoms which are the same as the preset disease symptoms in the 7 disease symptoms, wherein: the first number is 6, the second number is 1, and further, the server judges that the first number 6>2+1 (namely the second number), namely the number of the disease symptoms which are the same as the preset disease symptoms in the 7 disease symptoms meets the number condition indicated by the target mental disease authentication rule, and further, the detection data is matched with the target mental disease authentication rule.

In one embodiment, the target psychotic disorder authentication rule is a paranoid psychotic disorder authentication rule, which is shown in table 3-2. Wherein: delusions of the C56 system, C57 compliance with symptomatic criteria have been sustained for 3 months or more, C58 organic-free psychotic disorder, C59 schizophrenic or affective psychotic disorder and psychotic disorder caused by C60 psychotic substance-free/substance-independent psychotic disorder is a preset disease symptom corresponding to paranoid psychotic disorder certification rules. The C56+C57+ (C58-C60) >3 is a quantity condition corresponding to the paranoid type psychotic disorder authentication rule (i.e., a paranoid type psychotic disorder quantity condition), meaning that the sum of the first quantity of the user with the C56, the second quantity with the C57 and the third quantity with the third target symptom of the C58-C60 symptoms is greater than the quantity threshold 3. In this case, when the server detects that the detection data exists in the qualification data, the detection data is analyzed, it is determined that the disease symptoms of the disease suffered by the user to be authenticated include 4 disease symptoms such as 56 delusions of the system, C57 compliance with the symptom standard has been sustained for 3 months or more, C58 no organic mental disorder, C59 no schizophrenia or affective mental disorder, and the like, further, the server compares the 4 disease symptoms with preset disease symptoms one by one, and the number of disease symptoms identical to the preset disease symptoms in the 4 disease symptoms is 4, where: the first number is 1, the second number is 1, the third number is 2, and further, the server judges that the sum of the first number, the second number and the third number is 4 and is greater than a number threshold value 3, namely, it is determined that the number of disease symptoms identical to the preset disease symptoms in the 4 disease symptoms meets the number condition indicated by the paranoid type mental disorder authentication rule, and further it is determined that the detection data is matched with the paranoid type mental disorder authentication rule.

In one embodiment, the target psychotic disorder authentication rules are mood disorder authentication rules, which are shown in table 3-1. Wherein: the C61 accords with the preset disease symptoms corresponding to the mental disorder authentication rules, wherein the mania duration is greater than or equal to 1 week, the mixed episode of C62 mania and depression, the episode of C63 depression is greater than or equal to 2 weeks, the mental disorder caused by C64 inorganic mental disorder and C65 mental active substance-free/non-dependent substance-free mental disorder is the mental disorder. The (C61+C62+C63) >1+ (C64+C65) is a number condition corresponding to the mood disorder authentication rule (i.e., a mood disorder number condition), meaning that the first number of first target symptoms in the symptoms of C61-C63 of the user is larger than the sum of the second number of second target symptoms in the symptoms of C64-C65 of the user and 1. In this case, when the server detects that the detection data exists in the qualification data, the detection data is analyzed, it is determined that the disease symptoms of the disease suffered by the user to be authenticated include 4 disease symptoms such as C61 meeting mania lasting for 1 week or more, C62 mania and mixed episode of depression, C63 depressive episode lasting for 2 weeks or more, and C64 inorganic mental disorder, and the like, and further, the server compares the 4 disease symptoms with preset disease symptoms one by one, so as to obtain 4 disease symptoms identical to the preset disease symptoms in the 4 disease symptoms, wherein: the first number is 3, the second number is 1, and further, the server judges that the first number 3>1+1 (namely the second number), namely, the number of disease symptoms identical to the preset disease symptoms in the 4 disease symptoms meets the number condition indicated by the mood disorder authentication rule, and further, the detection data is matched with the mood disorder authentication rule.

306. When the server determines that the detection data is matched with the target mental disease authentication rule, the server determines that qualification authentication of mental diseases of the user to be authenticated is successful, and sends a medical insurance reimbursement instruction of the mental diseases corresponding to the target mental disease authentication rule to the medical insurance platform.

The specific implementation of step 306 may be referred to the description of step 204 in the above embodiment, which is not repeated here.

In one embodiment, the server may obtain user information of the user to be authenticated from the mental disease qualification authentication request, obtain historical disease information of the user to be authenticated according to the user information, and further analyze the historical disease information to determine whether the user to be authenticated has a relevant disease of the target mental disease, and when the server determines that the user to be authenticated has the relevant disease of the mental disease, adjust the target mental disease authentication rule according to a preset adjustment policy, where the target mental disease is a disease corresponding to the target mental disease authentication rule.

Wherein, the target mental disease authentication rule corresponds to preset disease symptoms and quantity conditions. The preset adjustment policy may be an adjustment of a number of conditions corresponding to the target mental disease authentication rule. How to adjust specifically can be configured by the developer in advance to the adjustment strategy corresponding to the target mental disease authentication rule.

In one embodiment, when the target psychotic disorder certification rule is a schizophrenia certification rule, the target psychotic disorder is schizophrenia. In this case, when the server determines that the user to be authenticated has the relevant disease of schizophrenia according to the historical disease information of the user to be authenticated, the adjustment policy corresponding to schizophrenia may be executed to adjust the number conditions indicated by the schizophrenia authentication rule (i.e., adjust the schizophrenia authentication rule). For example, the initial number condition indicated by the schizophrenia authentication rule is c45_c50 >2+ (C51_c55), wherein 2 is a number threshold corresponding to the schizophrenia authentication rule, and then the result of the server executing the adjustment policy corresponding to schizophrenia to adjust the initial number condition may be c45_c50 >3+ (C51_c55), and the number threshold corresponding to the schizophrenia authentication rule is adjusted from 2 to a first preset threshold 3. In addition to adjusting the number threshold corresponding to the schizophrenia authentication rule, other adjustment strategies may be used to adjust the number condition, which is not particularly limited in the present invention.

In one embodiment, the server may further obtain user information of the user to be authenticated from the mental disorder qualification request, and obtain a historical disorder claim record of the user to be authenticated from the medical insurance platform according to the user information, where the historical disorder claim record indicates a number of disorders of the user to be authenticated for which a history claim is to be paid. Further, the server identifies the historical disease claim records, and if the number of the diseases identified to be authenticated for the user historical claim is greater than or equal to a preset disease number threshold, the target mental disease authentication rule is adjusted according to a preset adjustment strategy.

Wherein the adjustment may be, for example, adjusting the number condition indicated by the target mental disease authentication rule. In one embodiment, the preset adjustment policy may be to adjust the number threshold in the number condition to a second preset number threshold. The adjustment policy corresponding to the target psychotic disorder authentication rule may be different, for example, the target psychotic disorder authentication rule is a paranoid type psychotic disorder authentication rule, and the number condition indicated by the paranoid type psychotic disorder authentication rule is c56+c57+ (C58-C60) >3, where 3 is a number threshold corresponding to the paranoid type psychotic disorder authentication rule. In this case, the preset adjustment policy for the paranoid type psychotic disorder authentication rule may be to adjust the number threshold 3 corresponding to the paranoid type psychotic disorder authentication rule to a second preset threshold 5.

For another example, the target mental disorder authentication rule is a mood disorder authentication rule, and the number condition indicated by the mood disorder authentication rule is (c61+c62+c63) >1+ (c64+c65), where 1 is a number threshold corresponding to the mood disorder authentication rule. In this case, the preset adjustment policy for the mood disorder authentication rule may be to adjust the number threshold 1 corresponding to the mood disorder authentication rule to a third preset threshold 3.

Wherein the magnitudes of the second preset threshold and the third preset threshold may be associated with the magnitude of the preset disease number threshold. The preset disease number threshold is larger, and then the second preset threshold and the third preset threshold corresponding to the threshold are larger. For example, the preset disease number threshold is 3, and the second preset threshold and the third preset threshold are 1 and 3, respectively; the preset disease number threshold is 5, and the second preset threshold and the third preset threshold are 2 and 4, respectively.

In the embodiment of the invention, the server can receive the qualification authentication request of the mental diseases from the user to be authenticated, wherein the qualification authentication request carries qualification authentication data of the user to be authenticated aiming at the mental diseases. Further, the server may detect whether the qualification data includes detection data associated with the target mental disease authentication rule, when the server detects that the qualification data includes detection data, analyze the detection data to determine one or more disease symptoms of a disease suffered by a user to be authenticated, count the number of disease symptoms identical to a preset disease symptom in the one or more disease symptoms, further determine whether the number meets a number condition indicated by the target mental disease authentication rule, and if the number meets the number condition, determine that the detection data matches with the target mental disease authentication rule, further determine that qualification authentication of the mental disease of the user to be authenticated is successful, and send a medical insurance reimbursement instruction of the target mental disease corresponding to the target mental disease authentication rule to the medical insurance platform. The invention is beneficial to improving the authentication efficiency of mental diseases.

Referring to fig. 4, fig. 4 is a flowchart of yet another data processing-based mental disease authentication method according to an embodiment of the present invention, where the method is applied to a server, and as shown in the drawing, the data processing-based mental disease authentication method may include:

401. the server receives a qualification authentication request of the mental diseases from the user to be authenticated, wherein the qualification authentication request carries qualification authentication data of the user to be authenticated aiming at the mental diseases.

402. The server detects whether detection data associated with the target mental disease authentication rule exists in the qualification authentication data.

The specific implementation manner of steps 401 to 402 may be referred to the description of steps 201 to 202 in the above embodiment, and will not be repeated here.

403. When the server detects that detection data exists in qualification authentication data, the detection data is analyzed to determine M disease symptoms of diseases of users to be authenticated, wherein M is an integer greater than 0.

404. The server detects whether M is larger than or equal to a preset number corresponding to a first preset disease symptom, wherein the first preset disease symptom is a disease symptom of N before priority ordering in K preset disease symptoms corresponding to a target mental disease authentication rule, K is a positive integer larger than or equal to N, and N is an integer larger than 0.

405. When the server determines that M is greater than or equal to the preset number, determining whether the number of M disease symptoms identical to the first preset disease symptom is equal to the preset number.

406. If the number of disease symptoms identical to the first preset disease symptoms in the M disease symptoms is equal to the preset number, the server determines that the detection data is matched with the target mental disease authentication rule.

In one embodiment, the target mental disease authentication rule corresponds to K preset disease symptoms, where K is a positive integer greater than N, and the developer may set a priority for the K preset disease symptoms in advance, and set a disease symptom N before the priority ranking of the K preset disease symptoms as a first preset disease symptom. In this case, when the server detects that the detection data exists in the qualification certification data, the detection data may be parsed to determine M disease symptoms of the disease suffered by the user to be certified, and detect whether the number M of the disease symptoms is greater than or equal to a preset number corresponding to the first preset disease symptoms, if so, detect whether the number identical to the first preset disease symptoms in the M disease symptoms is equal to the preset number, and if the number identical to the first preset disease symptoms in the M disease symptoms is equal to the preset number, determine that the detection data matches with the target mental disease certification rule. In this way, it is unnecessary to compare the detected number with all preset disease symptoms corresponding to the target psychotic disorder authentication rule, and only the first N of all preset disease symptoms need to be compared, so that the calculation overhead can be reduced.

Illustratively, the target psychotic disorder certification rule corresponds to 11 (i.e., K is 11) preset disease symptoms, which are respectively C45 associative disorder, C46 delusions, C47 affective disorder, C48 hallucinations, C49 behavioral disorder, C50 hypovolemia, a period of C51 mental disorder lasting for more than 1 month, C52 brain-free organic mental disorder, C53 mental disorder caused by somatic disorder, C54 mental disorder caused by mental active substance-free disorder, and C55 mental disorder caused by non-dependent substance-free disorder; the priorities set in advance for the 11 preset disease symptoms are respectively from optimal to better: psychotic disorders with C55 non-dependent substance, C45 associated disorder, C46 delusions, C47 affective disorder, C48 hallucinations, C49 behavioral disorder, C50 hypovolemia, C51 psychotic disorder with duration of more than 1 month, C52 organic-free psychotic disorder, psychotic disorder with C53 somatic disorder, and psychotic disorder with C54 psychotic disorder with psychotic active substance; wherein, the disease symptom of the pre-priority ranking front 7 (i.e. N is 7) in the 11 preset disease symptoms is set as the first preset disease symptom, that is, the first preset disease symptom is: c55 without substance-independent psychotic disorder, C45-associated disorder, C46 delusions, C47 affective disorder, C48 hallucinations, C49 behavioral disorder and C50 hypovolemia; the first predetermined disease symptoms correspond to a predetermined number of 6. In this case, when the server detects that the detection data exists in the qualification certification data, the detection data is analyzed, and 8 (i.e. M is 7) disease symptoms of the disease suffered by the user to be certified are determined, which are respectively: the server determines that m=8 is greater than a preset number 6 corresponding to a first preset disease symptom, the server can further detect that the same number of 8 disease symptoms as the first preset disease symptom is 7, the same number of 7 as the first preset disease symptom is greater than a preset number 6, and the detection data can be determined to match the target psychotic disorder authentication rule.

407. When the server determines that the detection data is matched with the target mental disease authentication rule, the server determines that qualification authentication of mental diseases of the user to be authenticated is successful, and sends a medical insurance reimbursement instruction of the mental diseases corresponding to the target mental disease authentication rule to the medical insurance platform.

The specific implementation of step 407 may be referred to the description of step 204 in the above embodiment, which is not repeated here.

In one embodiment, the qualification request further carries user information of the user to be authenticated, where the user information includes a user identifier and biometric information, and before the server executes step 402, the server may acquire target biometric sample information matched with the user identifier from a preset database, compare the target biometric sample information with the biometric information, and if the comparison results in that the target biometric sample information is matched with the biometric information, step 402. The user identifier may include a certificate number (such as a medical insurance card number, an identity card number, etc.) of the user to be authenticated, and may also be biometric information (such as an iris, a fingerprint, a face image, etc.) of the user to be authenticated.

In one embodiment, after the server obtains the target biometric sample information matched with the user identifier from the preset database, similarity comparison can be performed between the target biometric sample information and the current biometric information of the user to be authenticated, and if the similarity is greater than or equal to a similarity threshold, the target biometric sample information is matched with the biometric information.

In an embodiment, the foregoing qualification request carries source information corresponding to the qualification request, before the server executes step 402, the server may further acquire source information from the qualification request, and analyze the source information to determine whether a source corresponding to the source information is the same as a preset source, and if it is determined that the source corresponding to the source information is the same as the preset source, trigger to execute step 402.

The sending source is a third party platform or device sending the qualification certification request, and the sending source information may include an IP address of the third party platform, a name of the third party platform, a device number, and the like.

In one embodiment, if the server obtains that the detection data does not match the target mental disease authentication rule, a prompt message is output, where the prompt message is used to prompt the user to be authenticated to input target detection data and use of the target detection data, where the target detection data is detection data corresponding to any one of one or more preset mental disease authentication rules. Further, the server may receive the target detection data, and determine whether the user to be authenticated is eligible for the target mental disorder according to the target detection data.

Illustratively, the preset psychotic disorder authentication rules include 3 kinds, namely, a schizophrenia authentication rule as shown in Table 3-1, a paranoid type psychotic disorder authentication rule as shown in Table 3-2, and a mood disorder authentication rule as shown in Table 3-3, respectively. In this case, the prompt message may include input of first target detection data for determining that the user to be authenticated has the qualification of schizophrenia, where the first target detection data is detection data corresponding to preset disease symptoms (such as C45 associative disorder, C46 delusions, C47 affective disorder, C48 hallucinations, C49 behavioral disorder, C50 hypovolemia, C51 psychotic disorder lasting for more than 1 month, C52 brain-free organic psychotic disorder, C53 psychotic disorder caused by somatic disease, C54 psychotic disorder caused by psychotic disorder without psychotic active substance, C55 psychotic disorder caused by non-dependent substance, C56 self-awareness and/or impaired social function, etc.).

Or the prompt message may include input of second target detection data for determining qualification of the user to be authenticated for paranoid type psychotic disorder, where the second target detection data is detection data corresponding to preset disease symptoms (such as delusions of C56 system, C57 compliance with symptom standard for 3 months or more, C58 inorganic psychotic disorder, C59 schizophrenic or affective disorder, psychotic disorder caused by C60 psychotic-free active substance/psychotic disorder caused by non-dependent substance, etc.) included in the paranoid type psychotic disorder authentication rule.

Or the prompt message may include inputting third target detection data for determining that the user to be authenticated has a qualification of mood disorder, where the third target detection data is detection data corresponding to preset disease symptoms (such as C61 meeting mania for 1 week or more, C62 mania and mixed episode of depression, C63 episode for 2 weeks or more, C64 inorganic mental disorder, mental disorder caused by C65 non-mental active substance/mental disorder caused by non-dependent substance, etc.) included in the mood disorder authentication rule.

In the embodiment of the invention, the server can receive the qualification authentication request of the mental diseases from the user to be authenticated, wherein the qualification authentication request carries qualification authentication data of the user to be authenticated aiming at the mental diseases. Further, the server may detect whether detection data associated with the target mental disease authentication rule exists in the qualification authentication data, and when the server detects that the detection data exists in the qualification authentication data, analyze the detection data to determine M disease symptoms of the disease suffered by the user to be authenticated, and detect whether the M is greater than or equal to a preset number corresponding to a first preset disease symptom, where the first preset disease symptom is a disease symptom N before the priority ranking among K preset disease symptoms corresponding to the target mental disease authentication rule. Further, when the server determines that M is greater than or equal to the preset number, determining whether the number of M disease symptoms which are the same as the first preset disease symptoms is equal to the preset number, if the number of M disease symptoms which are the same as the first preset disease symptoms is equal to the preset number, the server determines that the detection data are matched with the target mental disease authentication rule, further determines that qualification authentication of mental diseases of a user to be authenticated is successful, and sends a medical insurance reimbursement instruction of the target mental diseases corresponding to the target mental disease authentication rule to the medical insurance platform. The invention is beneficial to improving the authentication efficiency of mental diseases.

The embodiment of the invention also provides a mental disease authentication device based on data processing. The apparatus comprises means for performing the methods described in the foregoing figures 2,3 or 4. In particular, referring to fig. 5, a schematic block diagram of a mental disease authentication apparatus based on data processing according to an embodiment of the present invention is provided. The mental disease authentication device based on data processing of the present embodiment includes:

a receiving unit 50, configured to receive a qualification request of a mental disease from a user to be authenticated, where the qualification request carries qualification data of the user to be authenticated for the mental disease;

a processing unit 51, configured to detect whether detection data associated with a target mental disease authentication rule exists in the qualification authentication data, where the target mental disease authentication rule is any one of a plurality of preset mental disease authentication rules;

the processing unit 51 is further configured to, when detecting that the detection data exists in the qualification data, parse the detection data to determine whether the detection data matches the target mental disease authentication rule;

The processing unit 51 is further configured to determine that qualification authentication for the mental disorder of the user to be authenticated is successful if the detection data matches the target mental disorder authentication rule.

And the sending unit 52 is configured to send, to a medical insurance platform, a medical insurance reimbursement instruction for the target mental disease after determining that qualification authentication on the mental disease of the user to be authenticated is successful, where the medical insurance reimbursement instruction is used to instruct the medical insurance platform to reimburse the diagnosis and treatment cost of the target mental disease of the user to be authenticated.

In one embodiment, the processing unit 51 is further specifically configured to parse the detection data to determine one or more disease symptoms of the disease suffered by the user to be authenticated; counting the number of disease symptoms of the one or more disease symptoms that are the same as the preset disease symptoms; judging whether the quantity meets the quantity condition indicated by the target mental disease authentication rule; and if the quantity meets the quantity condition, determining that the detection data is matched with the target mental disease authentication rule.

In one embodiment, the processing unit 51 is specifically further configured to parse the detection data to determine M disease symptoms of the disease suffered by the user to be authenticated, where M is an integer greater than 0; detecting whether M is larger than or equal to a preset number corresponding to a first preset disease symptom, wherein the first preset disease symptom is a disease symptom of N before priority ordering in K preset disease symptoms corresponding to the target mental disease authentication rule, K is a positive integer larger than or equal to N, and N is an integer larger than 0; when the M is greater than or equal to the preset number, determining whether the number of disease symptoms of the M disease symptoms that are the same as the first preset disease symptom is equal to the preset number; and if the number of the disease symptoms which are the same as the first preset disease symptoms in the M disease symptoms is equal to the preset number, determining that the detection data is matched with the target mental disease authentication rule.

In one embodiment, the qualification request further carries user information of the user to be authenticated, where the user information includes a user identifier and biometric information, and the processing unit 51 is further configured to obtain target biometric sample information matched with the user identifier from a preset database, and compare the target biometric sample information with the biometric information, where the preset database stores biometric sample information corresponding to each user identifier; and if the comparison results in that the target biological characteristic sample information is matched with the biological characteristic information, triggering the step of detecting whether detection data associated with a target mental disease authentication rule exists in the qualification authentication data.

In one embodiment, the qualification request carries transmission source information corresponding to the qualification request, and the processing unit 51 is further configured to obtain the transmission source information from the qualification request, and parse the transmission source information to determine whether a transmission source corresponding to the transmission source information is the same as a preset transmission source; and if the sending source corresponding to the sending source information is determined to be the same as the preset sending source, triggering the step of detecting whether the detection data associated with the target mental disease authentication rule exists in the qualification authentication data.

In one embodiment, the processing unit 51 is further configured to output a prompt message if the detected data is not matched with the target mental disease authentication rule, where the prompt message is used to prompt the user to be authenticated to input target detected data and use of the target detected data, and the target detected data is detected data corresponding to any one of the one or more preset mental disease authentication rules; and receiving the target detection data, and judging whether the user to be authenticated has the qualification of the target mental disease according to the target detection data.

In one embodiment, the qualification request is sent by the user to be authenticated through a medical insurance platform, the qualification request further carries user information of the user to be authenticated, and the processing unit 51 is further configured to generate a target mental disease label after determining that qualification for mental diseases of the user to be authenticated is successful, where the target mental disease label is used to identify that the user to be authenticated has the target mental disease; and generating medical insurance reimbursement instructions for the target mental diseases according to the target mental disease labels and the user information.

It should be noted that, the functions of each functional module of the data processing-based mental disease authentication device described in the embodiments of the present invention may be specifically implemented according to the method in the method embodiment described in fig. 2,3 or 4, and the specific implementation process may refer to the relevant description of the method embodiment in fig. 2,3 or 4, which is not repeated herein.

Referring to fig. 6, fig. 6 is a schematic block diagram of a server according to an embodiment of the present invention, and as shown in fig. 6, the server includes a processor 601, a memory 602, and a network interface 603. The processor 601, memory 602, and network interface 603 may be connected via a bus or otherwise, as illustrated in fig. 6 in the embodiment of the present invention. The network interface 603 is controlled by the processor to send and receive messages, the memory 602 is used for storing a computer program, the computer program comprises program instructions, and the processor 601 is used for executing the program instructions stored in the memory 602. Wherein the processor 601 is configured to invoke the program instructions to execute: receiving a qualification authentication request of a mental disease from a user to be authenticated through a network interface 603, wherein the qualification authentication request carries qualification authentication data of the user to be authenticated for the mental disease; detecting whether detection data associated with a target mental disease authentication rule exists in the qualification authentication data, wherein the target mental disease authentication rule is any one of a plurality of preset mental disease authentication rules; when the detection data are detected to exist in the qualification certification data, analyzing the detection data to determine whether the detection data are matched with the target mental disease certification rule; if the detection data is matched with the target mental disease authentication rule, successful qualification authentication of the mental disease of the user to be authenticated is determined, and a medical insurance reimbursement instruction of the target mental disease is sent to a medical insurance platform, wherein the medical insurance reimbursement instruction is used for indicating the medical insurance platform to reimburse the diagnosis and treatment expense of the target mental disease of the user to be authenticated.

It should be appreciated that in embodiments of the present invention, the Processor 601 may be a central processing unit (Central Processing Unit, CPU), the Processor 601 may also be other general purpose processors, digital signal processors (DIGITAL SIGNAL processors, DSPs), application SPECIFIC INTEGRATED Circuits (ASICs), off-the-shelf Programmable gate arrays (Field-Programmable GATE ARRAY, FPGA) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The memory 602 may include read only memory and random access memory, and provides instructions and data to the processor 601. A portion of the memory 602 may also include non-volatile random access memory. For example, the memory 602 may also store information of device type.

In a specific implementation, the processor 601, the memory 602 and the network interface 603 described in the embodiments of the present invention may perform the implementation described in the method embodiments illustrated in fig. 2, fig. 3 or fig. 4 provided in the embodiments of the present invention, or may perform the implementation of the mental disease authentication device based on data processing described in the embodiments of the present invention, which is not described herein again.

In another embodiment of the present invention, there is provided a computer-readable storage medium storing a computer program comprising program instructions that when executed by a processor implement: receiving a qualification authentication request of a mental disease from a user to be authenticated, wherein the qualification authentication request carries qualification authentication data of the user to be authenticated aiming at the mental disease; detecting whether detection data associated with a target mental disease authentication rule exists in the qualification authentication data, wherein the target mental disease authentication rule is any one of a plurality of preset mental disease authentication rules; when the detection data are detected to exist in the qualification certification data, analyzing the detection data to determine whether the detection data are matched with the target mental disease certification rule; if the detection data is matched with the target mental disease authentication rule, successful qualification authentication of the mental disease of the user to be authenticated is determined, and a medical insurance reimbursement instruction of the target mental disease is sent to a medical insurance platform, wherein the medical insurance reimbursement instruction is used for indicating the medical insurance platform to reimburse the diagnosis and treatment expense of the target mental disease of the user to be authenticated.

The computer readable storage medium may be an internal storage unit of the server according to any of the foregoing embodiments, for example, a hard disk or a memory of the server. The computer readable storage medium may also be an external storage device of the server, such as a plug-in hard disk, a smart memory card (SMART MEDIA CARD, SMC), a Secure Digital (SD) card, a flash memory card (FLASH CARD), or the like, which are provided on the server. Further, the computer readable storage medium may also include both an internal storage unit and an external storage device of the server. The computer-readable storage medium is used to store the computer program and other programs and data required by the server. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.

Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a random-access Memory (Random Access Memory, RAM), or the like.

The above disclosure is only a few examples of the present invention, and it is not intended to limit the scope of the present invention, but it is understood by those skilled in the art that all or a part of the above embodiments may be implemented and equivalents thereof may be modified according to the scope of the present invention.

Claims

1. A method for authenticating mental illness based on data processing, characterized in that the method is applied to a server and comprises:

Detecting whether detection data associated with a target mental disease authentication rule exists in the qualification authentication data, wherein the target mental disease authentication rule is any one of a plurality of preset mental disease authentication rules; the plurality of preset psychotic disorder authentication rules comprise schizophrenia authentication rules, paranoid type psychotic disorder authentication rules and mood disorder authentication rules; the disease symptoms corresponding to the schizophrenia authentication rule include: associative disorders, delusions, and affective disorders; disease symptoms corresponding to paranoid type psychotic disorder authentication rules include: systemic delusions and organic mental disorders; the disease symptoms corresponding to the mood disorder authentication rules include: is consistent with mania lasting more than or equal to 1 week and mental disorder caused by independent substances;

If the detection data is matched with the target mental disease authentication rule, determining that qualification authentication of the mental disease of the user to be authenticated is successful, and sending a medical insurance reimbursement instruction of the target mental disease to a medical insurance platform, wherein the medical insurance reimbursement instruction is used for indicating the medical insurance platform to reimburse diagnosis and treatment expense of the target mental disease of the user to be authenticated; the method further comprises the steps of:

Acquiring user information of a user to be authenticated from a mental disease qualification authentication request, and acquiring historical disease information of the user to be authenticated according to the user information; analyzing the historical disease information to determine whether the user to be authenticated suffers from the relevant disease of the target mental disease, and adjusting the target mental disease authentication rule according to a preset adjustment strategy when the user to be authenticated is determined to suffer from the relevant disease of the target mental disease; or alternatively

Acquiring user information of a user to be authenticated from the mental disease qualification authentication request, and acquiring a historical disease claim record of the user to be authenticated from a medical insurance platform according to the user information, wherein the historical disease claim record indicates the number of diseases of the user to be authenticated in a historical claim; identifying historical disease claim records, and if the number of the diseases of the historical disease claim records of the user to be authenticated is greater than or equal to a preset disease number threshold value, adjusting the target mental disease authentication rule according to a preset adjustment strategy;

the target mental disease authentication rule corresponds to preset disease symptoms and quantity conditions, and the preset adjustment strategy comprises adjustment of the quantity conditions corresponding to the target mental disease authentication rule.

2. The method of claim 1, wherein said parsing the test data to determine if the test data matches the target psychotic disorder authentication rule comprises:

Analyzing the detection data to determine one or more disease symptoms of the disease suffered by the user to be authenticated;

counting the number of disease symptoms of the one or more disease symptoms that are the same as the preset disease symptoms;

Judging whether the quantity meets the quantity condition indicated by the target mental disease authentication rule;

And if the quantity meets the quantity condition, determining that the detection data is matched with the target mental disease authentication rule.

3. The method of claim 1, wherein said parsing the test data to determine if the test data matches the target psychotic disorder authentication rule comprises:

Analyzing the detection data to determine M disease symptoms of the disease suffered by the user to be authenticated, wherein M is an integer greater than 0;

Detecting whether M is larger than or equal to a preset number corresponding to a first preset disease symptom, wherein the first preset disease symptom is a disease symptom of N before priority ordering in K preset disease symptoms corresponding to the target mental disease authentication rule, K is a positive integer larger than or equal to N, and N is an integer larger than 0;

When the M is greater than or equal to the preset number, determining whether the number of disease symptoms of the M disease symptoms that are the same as the first preset disease symptom is equal to the preset number;

And if the number of the disease symptoms which are the same as the first preset disease symptoms in the M disease symptoms is equal to the preset number, determining that the detection data is matched with the target mental disease authentication rule.

4. A method according to any of claims 1-3, wherein the qualification request further carries user information of the user to be authenticated, the user information comprising a user identification and biometric information, the method further comprising, prior to detecting whether there is detection data associated with a target psychotic disorder authentication rule in the qualification data:

Acquiring target biological characteristic sample information matched with the user identification from a preset database, and comparing the target biological characteristic sample information with the biological characteristic information, wherein the preset database stores biological characteristic sample information corresponding to each user identification;

And if the comparison results in that the target biological characteristic sample information is matched with the biological characteristic information, triggering the step of detecting whether detection data associated with a target mental disease authentication rule exists in the qualification authentication data.

5. A method according to any one of claims 1-3, wherein the qualification request carries transmission source information corresponding to the qualification request, and before detecting whether there is detection data associated with a target psychotic disorder authentication rule in the qualification data, the method further comprises:

Acquiring the sending source information from the qualification certification request, and analyzing the sending source information to determine whether the sending source corresponding to the sending source information is the same as a preset sending source;

and if the sending source corresponding to the sending source information is determined to be the same as the preset sending source, triggering a step of detecting whether detection data associated with a target mental disease authentication rule exists in the qualification authentication data.

6. A method according to any one of claims 1-3, wherein after said parsing the test data to determine if the test data matches the target psychotic disorder authentication rule, the method further comprises:

If the detection data is not matched with the target mental disease authentication rules, outputting prompt information, wherein the prompt information is used for prompting the user to be authenticated to input target detection data and the purpose of the target detection data, and the target detection data is detection data corresponding to any one of the one or more preset mental disease authentication rules;

And receiving the target detection data, and judging whether the user to be authenticated has the qualification of the target mental disease according to the target detection data.

7. A method according to any one of claims 1-3, wherein the qualification request is sent by the user to be authenticated through a medical insurance platform, the qualification request further carries user information of the user to be authenticated, and before sending a medical insurance reimbursement instruction for the target mental disease to the medical insurance platform, the method further comprises:

Generating a target mental disease label after successful qualification authentication of the mental disease of the user to be authenticated is determined, wherein the target mental disease label is used for identifying that the user to be authenticated suffers from the target mental disease;

And generating medical insurance reimbursement instructions for the target mental diseases according to the target mental disease labels and the user information.

8. A mental disease authentication device based on data processing, comprising:

The receiving unit is used for receiving a qualification authentication request of the mental diseases of the user to be authenticated, wherein the qualification authentication request carries qualification authentication data of the user to be authenticated aiming at the mental diseases;

The processing unit is used for detecting whether detection data associated with a target mental disease authentication rule exists in the qualification authentication data, wherein the target mental disease authentication rule is any one of a plurality of preset mental disease authentication rules; the plurality of preset psychotic disorder authentication rules comprise schizophrenia authentication rules, paranoid type psychotic disorder authentication rules and mood disorder authentication rules; the disease symptoms corresponding to the schizophrenia authentication rule include: associative disorders, delusions, and affective disorders; disease symptoms corresponding to paranoid type psychotic disorder authentication rules include: systemic delusions and organic mental disorders; the disease symptoms corresponding to the mood disorder authentication rules include: is consistent with mania lasting more than or equal to 1 week and mental disorder caused by independent substances;

The processing unit is further used for analyzing the detection data to determine whether the detection data is matched with the target mental disease authentication rule when the detection data exist in the qualification authentication data;

The processing unit is further configured to determine that qualification authentication of the mental disease of the user to be authenticated is successful if the detection data is matched with the target mental disease authentication rule, and send a medical insurance reimbursement instruction of the target mental disease to a medical insurance platform, where the medical insurance reimbursement instruction is used for indicating that the medical insurance platform reimburses for diagnosis and treatment expense of the target mental disease of the user to be authenticated;

The processing unit is further used for acquiring user information of the user to be authenticated from the mental disease qualification authentication request, acquiring historical disease information of the user to be authenticated according to the user information, analyzing the historical disease information to determine whether the user to be authenticated has a relevant disease of the target mental disease, and adjusting the target mental disease authentication rule according to a preset adjustment strategy when determining that the user to be authenticated has the relevant disease of the target mental disease; or acquiring user information of the user to be authenticated from the mental disease qualification authentication request, and acquiring historical disease claim records of the user to be authenticated from a medical insurance platform according to the user information, wherein the historical disease claim records indicate the number of diseases of the user to be authenticated in a historical claim, the historical disease claim records are identified, and if the number of diseases of the user to be authenticated in the historical claim is greater than or equal to a preset disease number threshold value, the target mental disease authentication rule is adjusted according to a preset adjustment strategy; the target mental disease authentication rule corresponds to preset disease symptoms and quantity conditions, and the preset adjustment strategy comprises adjustment of the quantity conditions corresponding to the target mental disease authentication rule.

9. A server comprising a processor and a memory, the processor and the memory being interconnected, wherein the memory is adapted to store a computer program comprising program instructions, the processor being configured to invoke the program instructions to perform the method of any of claims 1-7.

10. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program comprising program instructions which, when executed by a processor, cause the processor to perform the method of any of claims 1-7.