CN111599489A - Disease information acquisition method, terminal equipment and storage medium - Google Patents
Disease information acquisition method, terminal equipment and storage medium Download PDFInfo
- Publication number
- CN111599489A CN111599489A CN202010425948.7A CN202010425948A CN111599489A CN 111599489 A CN111599489 A CN 111599489A CN 202010425948 A CN202010425948 A CN 202010425948A CN 111599489 A CN111599489 A CN 111599489A
- Authority
- CN
- China
- Prior art keywords
- symptom
- information
- disease
- patient
- candidate
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Epidemiology (AREA)
- Pathology (AREA)
- Primary Health Care (AREA)
- Biomedical Technology (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Medical Treatment And Welfare Office Work (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The invention provides a disease information acquisition method, a terminal device and a storage medium, wherein the method comprises the following steps: acquiring basic information and symptom information of a patient when a dialogue inquiry is triggered; and matching the basic information and the symptom information with a disease symptom database to obtain the disease information of the patient. The invention obtains the basic information and the symptom information through the dialogue inquiry without direct participation of doctors, simplifies the information obtaining process and the obtaining efficiency, and avoids repeated communication interaction between doctors and patients. The disease information of the patient is intelligently diagnosed, so that the patient can clearly know the disease information of the patient, the diagnosis of a doctor can be assisted, and the misdiagnosis and missed diagnosis rate is reduced.
Description
Technical Field
The present invention relates to the field of medical technology and data processing, and in particular, to a method for acquiring disease information, a terminal device, and a storage medium.
Background
In the traditional medical service process, a patient needs to make an appointment and register, after the registration is successful, doctors communicate with the patient for many times to know the state of illness of the patient, suspected cases are analyzed and eliminated step by step according to the state of illness, a diagnosis result is given, and a prescription is further made according to the diagnosis result. Therefore, disease information diagnosis is an important link for patient medical treatment.
However, in the current social medical resource shortage, in the traditional inquiry communication process between a doctor and a patient, the doctor and the patient need to perform multiple communication interaction to obtain basic personal information of the patient, such as age, sex, height, weight and the like, and disease description of the disease manifestation with the most obvious feeling of the patient, and the process is complicated and takes a long time, so that the efficiency of obtaining the disease information related to the patient in the inquiry process is low. Moreover, the time for each patient to communicate with the doctor in the same place is limited, and some symptoms to be described are often forgotten when the doctor is seen, so that the inquiry effect is poor, and the treatment of the patient is delayed.
Disclosure of Invention
The invention aims to provide a disease information acquisition method, a terminal device and a storage medium, which can realize the acquisition of basic information and symptom information through dialogue inquiry without direct participation of doctors, simplify the information acquisition process and acquisition efficiency, and avoid repeated communication interaction between doctors and patients. The disease information of the patient is intelligently diagnosed, so that the patient can clearly know the disease information of the patient, the diagnosis of a doctor can be assisted, and the misdiagnosis and missed diagnosis rate is reduced.
The technical scheme provided by the invention is as follows:
the invention provides a disease information acquisition method, which comprises the following steps:
acquiring basic information and symptom information of a patient when a dialogue inquiry is triggered;
and matching the basic information and the symptom information with a disease symptom database to obtain the disease information of the patient.
Further, the method for obtaining the symptom information in the patient complaint content comprises the following steps:
reading disease symptom related information in the medical knowledge map;
and acquiring a symptom co-occurrence matrix and a disease-symptom correlation matrix according to the disease symptom related information, thereby acquiring a symptom matrix database and the disease symptom database.
Further, the acquiring the basic information and symptom information of the patient when the dialogue inquiry is triggered comprises the following steps:
receiving an inquiry request of a patient to trigger dialogue inquiry and acquire basic information of the patient;
and obtaining the symptom information of the patient according to the main complaint content input by the patient in the inquiry process.
Further, the step of obtaining the patient's symptom information according to the input complaint content of the patient during the inquiry process comprises the steps of:
extracting candidate symptom information of a patient from main complaint content input in an inquiry process, and generating a symptom list according to the candidate symptom information;
displaying a symptom list to the patient, acquiring candidate symptom information input or selected by the patient, and judging whether to finish inputting or selecting the candidate symptom information;
if the input or the selection of the candidate symptom information is determined not to be finished, matching the candidate symptom information input or selected by the patient with a symptom matrix database to search the associated candidate symptom information and adding the candidate symptom information to a symptom list;
and if the candidate symptom information is determined to be input or selected, determining the candidate symptom information input or selected by the patient as the symptom information.
Further, the step of matching the basic information and symptom information with a disease symptom database to obtain the disease information of the patient comprises the steps of:
matching the basic information and the symptom information with a disease-symptom correlation matrix of the disease symptom database, and calculating to obtain the matching correlation degree of each disease type;
and selecting a preset number of disease types with the matching correlation degrees arranged in front to obtain the disease information according to the size of the matching correlation degrees.
The present invention also provides a terminal device, including:
the acquisition module is used for acquiring basic information and symptom information of a patient when the dialogue inquiry is triggered;
and the processing module is used for matching the basic information and the symptom information with a disease symptom database to obtain the disease information of the patient.
Further, the method also comprises the following steps:
the reading module is used for reading the disease symptom related information in the medical knowledge map;
a creating module for obtaining a symptom co-occurrence matrix and a disease-symptom correlation matrix according to the disease symptom correlation information, thereby obtaining a symptom matrix database and the disease symptom database;
the acquisition module includes:
the inquiry unit is used for receiving an inquiry request of a patient to trigger dialogue inquiry and acquire basic information of the patient;
and the acquisition unit is used for acquiring the symptom information of the patient according to the main complaint content input by the patient in the inquiry process.
Further, the acquiring unit includes:
the analysis subunit is used for extracting candidate symptom information of the patient from the main complaint content input in the inquiry process and generating a symptom list according to the candidate symptom information;
a display subunit for displaying a list of symptoms to the patient;
the input subunit is used for acquiring candidate symptom information input or selected by the patient;
a processing subunit for judging whether to end input or select candidate symptom information; if the input or the selection of the candidate symptom information is determined not to be finished, matching the candidate symptom information input or selected by the patient with a symptom matrix database to search the associated candidate symptom information and adding the candidate symptom information to a symptom list; and if the candidate symptom information is determined to be input or selected, determining the candidate symptom information input or selected by the patient as the symptom information.
Further, the processing module comprises:
the matching calculation unit is used for matching the basic information and the symptom information with a disease-symptom correlation matrix of the disease symptom database and calculating the matching correlation degree of each disease type;
and the screening unit is used for selecting a preset number of disease types with the matching correlation degrees arranged in front to obtain the disease information according to the size of the matching correlation degrees.
The invention also provides a storage medium, which stores at least one instruction that is loaded and executed by a processor to implement the operations performed by the disease information acquisition method.
By the disease information acquisition method, the terminal equipment and the storage medium, the basic information and the symptom information can be acquired through dialogue inquiry without direct participation of doctors, the information acquisition process and the information acquisition efficiency are simplified, and in addition, repeated communication interaction between doctors and patients is avoided. The disease information of the patient is intelligently diagnosed, so that the patient can clearly know the disease information of the patient, the diagnosis of a doctor can be assisted, and the misdiagnosis and missed diagnosis rate is reduced.
Drawings
The above features, technical features, advantages and implementations of a disease information acquisition method, a terminal device and a storage medium will be further described in the following detailed description of preferred embodiments in a clearly understandable manner with reference to the accompanying drawings.
FIG. 1 is a flow chart of one embodiment of a disease information acquisition method of the present invention;
FIG. 2 is a flow chart of another embodiment of a disease information acquisition method of the present invention;
FIG. 3 is a flow chart of another embodiment of a disease information acquisition method of the present invention;
FIG. 4 is a flow chart of another embodiment of a disease information acquisition method of the present invention;
FIG. 5 is a schematic diagram of basic information and symptom information obtained in a dialogue inquiry of the present invention;
fig. 6 is a schematic structural diagram of an embodiment of a terminal device of the present invention.
Detailed Description
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following description will be made with reference to the accompanying drawings. It is obvious that the drawings in the following description are only some examples of the invention, and that for a person skilled in the art, other drawings and embodiments can be derived from them without inventive effort.
For the sake of simplicity, the drawings only schematically show the parts relevant to the present invention, and they do not represent the actual structure as a product. In addition, in order to make the drawings concise and understandable, components having the same structure or function in some of the drawings are only schematically illustrated or only labeled. In this document, "one" means not only "only one" but also a case of "more than one".
In an embodiment of the present invention, as shown in fig. 1, a method for acquiring disease information includes:
s100, acquiring basic information and symptom information of a patient when a dialogue inquiry is triggered;
specifically, when a patient has an inquiry requirement, the patient can trigger the terminal device to enter a dialogue inquiry, and the dialogue inquiry frame is displayed through the display interface of the terminal device, so that the patient can input own basic information and main complaint content in the dialogue inquiry frame, and keyword extraction is performed on the main complaint content to obtain symptom information of the patient. The basic information includes, but is not limited to, the age, sex, location, physical characteristics, allergen, past medical history, etc. of the patient. The subject matter includes, but is not limited to, descriptive matter of the disease site, manifestation of the condition, and the like.
And S200, matching the basic information and the symptom information with a disease symptom database to obtain the disease information of the patient.
Specifically, each disease may correspond to a symptom, and each symptom information may correspond to a plurality of types of disorders. After the terminal equipment acquires the basic information and the symptom information through the dialogue inquiry box, the acquired symptom information is matched with the disease symptom database, and the disease information of the patient can be roughly inferred. For example, gynecological diseases are only for women.
In the embodiment, after the terminal device triggers the dialogue inquiry, the patient directly carries out the dialogue inquiry through the inquiry dialogue box, so that the basic information and the symptom information are obtained, a doctor does not need to participate in the process of obtaining the basic information and the symptom information directly, the process of obtaining the basic information and the symptom information is simplified, the efficiency of obtaining the basic information and the symptom information is improved, and in addition, repeated communication interaction between doctors and patients is avoided. Then the terminal device matches the basic information and the symptom information with the disease symptom database to infer the disease information of the patient, so that the patient can clearly know the disease information possibly suffered by the patient, and can be assisted to master the disease information possibly suffered by the patient.
In an embodiment of the present invention, as shown in fig. 2, a method for acquiring disease information includes:
s010 reads the disease symptom related information in the medical knowledge map;
specifically, the construction process of the medical knowledge map is as follows: all medical data are read through Excel, the source of the medical data may include a local server of a hospital, and if the hospital cooperates with a credible third-party medical service institution, a large amount of medical data can be called from the server of the third-party medical service institution. Medical data is read and then the association between the medical entities and the medical entities is extracted, wherein the medical entities include but are not limited to diseases, symptoms, aliases, parts, departments, complications, medicines, ages, sexes, examination items, expenses and the like. The association relationship between the medical entity and the medical entity includes a disease-to-symptom relationship, a symptom-to-symptom relationship, a disease-to-complication relationship, a disease-to-alias relationship, a disease-to-part relationship, a disease-to-department relationship, a disease-to-medicine relationship, a disease-to-age relationship, a disease-to-sex relationship, and the like. And creating corresponding nodes according to the medical entities, creating node labels according to the names of the medical entities, connecting the nodes according to the incidence relation between the medical entities and the medical entities, and removing the duplication to complete the construction of the medical knowledge graph. The disease symptom related information comprises a medical entity and an incidence relation between the medical entity and the medical entity.
S020 obtaining a symptom co-occurrence matrix and a disease-symptom correlation matrix according to the disease symptom correlation information, thereby obtaining a symptom matrix database and a disease symptom database;
specifically, a symptom co-occurrence matrix is established according to the co-occurrence number of symptoms and complications, so that a symptom matrix database is obtained. The symptom co-occurrence matrix is a matrix indicating the number of times a symptom and a symptom (complication) occur together, and represents the number of times a symptom and a symptom (complication) occur together according to the number of times a disease and an alias co-occur. Exemplary, co-occurrence matrices of symptoms such as headache and angina.
Similarly, the disease-symptom correlation matrix is established by the number of co-occurrences of the disease and the site, the number of co-occurrences of the disease and the department, the number of co-occurrences of the disease and the drug, the number of co-occurrences of the disease and the age, the number of co-occurrences of the disease and the sex, and the like, thereby obtaining the disease symptom database. Exemplary, fever and headache, fever correspond to a disease-symptom correlation matrix.
S110, receiving an inquiry request of a patient to trigger dialogue inquiry and acquire basic information of the patient;
specifically, the patient may trigger the dialog inquiry by voice or by a manual operation mode, so that the basic information of the patient is manually input or is input by voice in a dialog inquiry box displayed at the display interface.
S120, obtaining symptom information of the patient according to the chief complaint content input by the patient in the inquiry process;
specifically, the main complaint content of the patient is manually input or is input by voice in a dialog inquiry box displayed on a display interface, and then the main complaint content is processed to obtain the symptom information of the patient.
And S200, matching the basic information and the symptom information with a disease symptom database to obtain the disease information of the patient.
In this embodiment, after the terminal device triggers the dialogue inquiry, the terminal device can perform an inquiry dialogue with the patient through the inquiry dialogue box to realize inquiry simulation, so as to simplify the medical inquiry process, and the acquisition process of the basic information and the symptom information does not need direct participation of a doctor, thereby simplifying the acquisition process of the basic information and the symptom information and improving the acquisition efficiency of the basic information and the symptom information. In addition, repeated communication interaction between doctors and patients is avoided, and the inquiry efficiency is effectively improved. Then the terminal device matches the basic information and the symptom information with the disease symptom database to infer the disease information of the patient, so that the patient can clearly know the disease information possibly suffered by the patient, and can be assisted to master the disease information possibly suffered by the patient.
In an embodiment of the present invention, as shown in fig. 3, a method for acquiring disease information includes:
s010 reads the disease symptom related information in the medical knowledge map;
s020 obtaining a symptom co-occurrence matrix and a disease-symptom correlation matrix according to the disease symptom correlation information, thereby obtaining a symptom matrix database and a disease symptom database;
s110, receiving an inquiry request of a patient to trigger dialogue inquiry and acquire basic information of the patient;
s121, candidate symptom information of a patient is extracted from the main complaint content input in the inquiry process, and a symptom list is generated according to the candidate symptom information;
specifically, the terminal device prompts to input basic information according to a preset inquiry flow, and the patient can trigger a dialogue inquiry through voice or a manual operation mode, so that the content of the chief complaint of the patient can be manually input or voice-input in a dialogue inquiry frame displayed on the display interface. Since the subject content provided by the patient is generally expressed based on natural language, which may include useless redundant information, natural language processing needs to be performed on the subject content at this time, so as to extract candidate symptom information of the patient from the subject content, and generate a symptom list according to the candidate symptom information.
Illustratively, the obtained main complaint content is that the part below the abdomen is sometimes difficult to be experienced and has a morbid falling feeling, wherein the words such as the parts below the abdomen, the parts below the.
S122, displaying a symptom list to the patient, acquiring candidate symptom information input or selected by the patient, and judging whether to finish inputting or selecting the candidate symptom information;
s123, if the input or the selection of the candidate symptom information is determined not to be finished, matching the candidate symptom information input or selected by the patient with the symptom matrix database to search the associated candidate symptom information and adding the candidate symptom information to the symptom list;
s124, if the candidate symptom information is determined to be input or selected, determining the candidate symptom information input or selected by the patient as the symptom information;
s210, matching the basic information and the symptom information with a disease-symptom correlation matrix of a disease symptom database, and calculating to obtain the matching correlation degree of each disease type;
s220, according to the size of the matching correlation degrees, selecting a preset number of disease types with the matching correlation degrees arranged in the front to obtain disease information.
Specifically, as shown in fig. 4, after the terminal device inputs the basic information according to the preset inquiry flow prompt, the display interface of the terminal device displays a symptom list to the patient, where the symptom list includes a plurality of candidate symptom information. The terminal device prompts the user to input or select candidate symptom information in the symptom list, and then judges whether it is determined to end the input or select the candidate symptom information. And if the patient selects not to finish inputting or select the candidate symptom information, matching the candidate symptom information input or selected by the patient with the symptom matrix database to search for associated candidate symptom information and adding the associated candidate symptom information to the symptom list, calculating to obtain an association degree value between each associated candidate symptom information and the candidate symptom information input or selected by the patient, selecting a first preset number of associated candidate symptom information with the association degree values arranged in the front according to the association degree values in a descending order, and then adding the associated candidate symptom information to the symptom list to display the patient. The above steps are repeated until the patient selects to finish inputting or selecting candidate symptom information, and then all candidate symptom information input or selected by the patient is determined to be final symptom information.
Illustratively, as shown in fig. 5, the obtained chief complaints are "headache, brain heat, persistent high fever", and "headache one day, brain heat 3 hours, and cough 2 weeks", the candidate symptom information of the patient obtained by continuing the above embodiment is "headache, brain heat, and cough", if the patient does not finish inputting or selecting the candidate symptom information, the patient performs matching according to the symptom matrix database to find the associated candidate symptom information and adds the associated candidate symptom information to the symptom list including "nasal obstruction, rhinorrhea, and high fever", the final symptom information obtained by the patient inputting or selecting includes "rhinorrhea, headache, brain heat, and cough", and then the patient is inferred to be influenza or fever according to the symptom information.
S210, matching the basic information and the symptom information with a disease-symptom correlation matrix of a disease symptom database, and calculating to obtain the matching correlation degree of each disease type;
s220, according to the size of the matching correlation degrees, selecting a preset number of disease types with the matching correlation degrees arranged in the front to obtain disease information.
Specifically, the basic information and the symptom information are matched with a disease-symptom correlation matrix of a disease symptom database, the matching correlation degree between each disease type and the correlation of the basic information and the symptom information can be calculated, and a second preset number of disease types with the matching correlation degrees arranged in the front are selected according to the numerical value of the matching correlation degree from large to small to obtain the disease information which the patient may have.
In this embodiment, after the terminal device triggers the dialogue inquiry, the terminal device can perform an inquiry dialogue with the patient through the inquiry dialogue box to realize inquiry simulation, so as to simplify the medical inquiry process, and the acquisition process of the basic information and the symptom information does not need direct participation of a doctor, thereby simplifying the acquisition process of the basic information and the symptom information and improving the acquisition efficiency of the basic information and the symptom information. In addition, repeated communication interaction between doctors and patients is avoided, and the inquiry efficiency is effectively improved. Then the terminal device matches the basic information and the symptom information with the disease symptom database to infer the disease information of the patient, so that the patient can clearly know the disease information possibly suffered by the patient, and can be assisted to master the disease information possibly suffered by the patient.
In an embodiment of the present invention, as shown in fig. 6, a terminal device includes:
the acquisition module 10 is used for acquiring basic information and symptom information of a patient when a dialogue inquiry is triggered;
and the processing module 20 is used for matching the basic information and the symptom information with the disease symptom database to obtain the disease information of the patient.
Based on the foregoing embodiment, further comprising:
the reading module is used for reading the disease symptom related information in the medical knowledge map;
the creating module is used for acquiring a symptom co-occurrence matrix and a disease-symptom correlation matrix according to the disease symptom correlation information so as to acquire a symptom matrix database and a disease symptom database;
specifically, this embodiment is a device embodiment corresponding to the method embodiment, and specific effects refer to the method embodiment, which is not described in detail herein.
Based on the foregoing embodiment, the acquisition module 10 includes:
the inquiry unit is used for receiving an inquiry request of a patient to trigger dialogue inquiry and acquire basic information of the patient;
and the acquisition unit is used for acquiring the symptom information of the patient according to the main complaint content input by the patient in the inquiry process.
Specifically, this embodiment is a device embodiment corresponding to the method embodiment, and specific effects refer to the method embodiment, which is not described in detail herein.
Based on the foregoing embodiment, the acquisition unit includes:
the analysis subunit is used for extracting candidate symptom information of the patient from the main complaint content input in the inquiry process and generating a symptom list according to the candidate symptom information;
a display subunit for displaying a list of symptoms to the patient;
the input subunit is used for acquiring candidate symptom information input or selected by the patient;
a processing subunit for judging whether to end input or select candidate symptom information; if the input or the selection of the candidate symptom information is determined not to be finished, matching the candidate symptom information input or selected by the patient with a symptom matrix database to search the associated candidate symptom information and adding the candidate symptom information to a symptom list; and if the candidate symptom information is determined to be input or selected, determining the candidate symptom information input or selected by the patient as the symptom information.
Specifically, this embodiment is a device embodiment corresponding to the method embodiment, and specific effects refer to the method embodiment, which is not described in detail herein.
Based on the foregoing embodiment, the processing module 20 includes:
the matching calculation unit is used for matching the basic information and the symptom information with a disease-symptom correlation matrix of a disease symptom database and calculating the matching correlation degree of each disease type;
and the screening unit is used for selecting a preset number of disease types with the matching correlation degrees arranged in front according to the size of the matching correlation degrees to obtain the disease information.
Specifically, this embodiment is a device embodiment corresponding to the method embodiment, and specific effects refer to the method embodiment, which is not described in detail herein.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of program modules is illustrated, and in practical applications, the above-described distribution of functions may be performed by different program modules, that is, the internal structure of the apparatus may be divided into different program units or modules to perform all or part of the above-described functions. Each program module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one processing unit, and the integrated unit may be implemented in a form of hardware, or may be implemented in a form of software program unit. In addition, the specific names of the program modules are only used for distinguishing the program modules from one another, and are not used for limiting the protection scope of the application.
The terminal device can be a desktop computer, a notebook, a palm computer, a tablet computer, a mobile phone, a man-machine interaction screen, a server and other devices. It will be appreciated by those skilled in the art that the foregoing is merely an example of a terminal device and is not limiting, and that more or fewer components than the foregoing embodiments may be included, or certain components may be combined, or different components may be included, such as: the terminal device may also include input/output interfaces, display devices, network access devices, communication buses, communication interfaces, and the like. A communication interface and a communication bus, and may further comprise an input/output interface, wherein the processor, the memory, the input/output interface and the communication interface complete communication with each other through the communication bus. The memory stores a computer program, and the processor is used for executing the computer program stored on the memory to realize the disease information acquisition method in the above method embodiment.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may be an internal storage unit of the terminal device, such as: hard disk or memory of the terminal device. The memory may also be an external storage device of the terminal device, such as: the terminal equipment is provided with a plug-in hard disk, an intelligent memory Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) and the like. Further, the memory may also include both an internal storage unit and an external storage device of the terminal device. The memory is used for storing the computer program and other programs and data required by the terminal device. The memory may also be used to temporarily store data that has been output or is to be output.
A communication bus is a circuit that connects the described elements and enables transmission between the elements. For example, the processor receives commands from other elements through the communication bus, decrypts the received commands, and performs calculations or data processing according to the decrypted commands. The memory may include program modules such as a kernel (kernel), middleware (middleware), an Application Programming Interface (API), and applications. The program modules may be comprised of software, firmware or hardware, or at least two of the same. The input/output interface forwards commands or data entered by a user via the input/output interface (e.g., sensor, keyboard, touch screen). The communication interface connects the terminal equipment with other network equipment, user equipment and a network. For example, the communication interface may be connected to a network by wire or wirelessly to connect to external other network devices or user devices. The wireless communication may include at least one of: wireless fidelity (WiFi), Bluetooth (BT), Near Field Communication (NFC), Global Positioning Satellite (GPS) and cellular communications, among others. The wired communication may include at least one of: universal Serial Bus (USB), high-definition multimedia interface (HDMI), asynchronous transfer standard interface (RS-232), and the like. The network may be a telecommunications network and a communications network. The communication network may be a computer network, the internet of things, a telephone network. The terminal device may be connected to the network via a communication interface, and a protocol used by the terminal device to communicate with other network devices may be supported by at least one of an application, an Application Programming Interface (API), middleware, a kernel, and a communication interface.
In an embodiment of the present invention, a storage medium stores at least one instruction, and the instruction is loaded and executed by a processor to implement the operations performed by the corresponding embodiments of the disease information obtaining method. For example, the computer readable storage medium may be a read-only memory (ROM), a random-access memory (RAM), a compact disc read-only memory (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, and the like.
They may be implemented in program code that is executable by a computing device such that it is executed by the computing device, or separately, or as individual integrated circuit modules, or as a plurality or steps of individual integrated circuit modules. Thus, the present invention is not limited to any specific combination of hardware and software.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or recited in detail in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by sending instructions to relevant hardware through a computer program, where the computer program may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises: computer program code which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable storage medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the content of the computer-readable storage medium can be increased or decreased according to the requirements of the legislation and patent practice in the jurisdiction, for example: in certain jurisdictions, in accordance with legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunications signals.
It should be noted that the above embodiments can be freely combined as necessary. The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (10)
1. A disease information acquisition method, characterized by comprising the steps of:
acquiring basic information and symptom information of a patient when a dialogue inquiry is triggered;
and matching the basic information and the symptom information with a disease symptom database to obtain the disease information of the patient.
2. The disease information acquisition method according to claim 1, wherein the acquiring of the symptom information in the patient complaint content comprises the steps of:
reading disease symptom related information in the medical knowledge map;
and acquiring a symptom co-occurrence matrix and a disease-symptom correlation matrix according to the disease symptom related information, thereby acquiring a symptom matrix database and the disease symptom database.
3. The disease information acquisition method according to claim 1, wherein the acquiring of the basic information and the symptom information of the patient at the time of triggering the dialogue inquiry includes the steps of:
receiving an inquiry request of a patient to trigger dialogue inquiry and acquire basic information of the patient;
and obtaining the symptom information of the patient according to the main complaint content input by the patient in the inquiry process.
4. The disease information acquisition method according to claim 3, wherein the obtaining of the patient's symptom information based on the content of the complaint input by the patient during the inquiry process comprises the steps of:
extracting candidate symptom information of a patient from main complaint content input in an inquiry process, and generating a symptom list according to the candidate symptom information;
displaying a symptom list to the patient, acquiring candidate symptom information input or selected by the patient, and judging whether to finish inputting or selecting the candidate symptom information;
if the input or the selection of the candidate symptom information is determined not to be finished, matching the candidate symptom information input or selected by the patient with a symptom matrix database to search the associated candidate symptom information and adding the candidate symptom information to a symptom list;
and if the candidate symptom information is determined to be input or selected, determining the candidate symptom information input or selected by the patient as the symptom information.
5. The disease information acquisition method according to any one of claims 1 to 4, wherein the step of obtaining the disease information of the patient by matching the basic information and the symptom information with a disease symptom database includes the steps of:
matching the basic information and the symptom information with a disease-symptom correlation matrix of the disease symptom database, and calculating to obtain the matching correlation degree of each disease type;
and selecting a preset number of disease types with the matching correlation degrees arranged in front to obtain the disease information according to the size of the matching correlation degrees.
6. A terminal device, comprising:
the acquisition module is used for acquiring basic information and symptom information of a patient when the dialogue inquiry is triggered;
and the processing module is used for matching the basic information and the symptom information with a disease symptom database to obtain the disease information of the patient.
7. The terminal device of claim 6, further comprising:
the reading module is used for reading the disease symptom related information in the medical knowledge map;
a creating module for obtaining a symptom co-occurrence matrix and a disease-symptom correlation matrix according to the disease symptom correlation information, thereby obtaining a symptom matrix database and the disease symptom database;
the acquisition module includes:
the inquiry unit is used for receiving an inquiry request of a patient to trigger dialogue inquiry and acquire basic information of the patient;
and the acquisition unit is used for acquiring the symptom information of the patient according to the main complaint content input by the patient in the inquiry process.
8. The terminal device according to claim 7, wherein the obtaining unit comprises:
the analysis subunit is used for extracting candidate symptom information of the patient from the main complaint content input in the inquiry process and generating a symptom list according to the candidate symptom information;
a display subunit for displaying a list of symptoms to the patient;
the input subunit is used for acquiring candidate symptom information input or selected by the patient;
a processing subunit for judging whether to end input or select candidate symptom information; if the input or the selection of the candidate symptom information is determined not to be finished, matching the candidate symptom information input or selected by the patient with a symptom matrix database to search the associated candidate symptom information and adding the candidate symptom information to a symptom list; and if the candidate symptom information is determined to be input or selected, determining the candidate symptom information input or selected by the patient as the symptom information.
9. The terminal device according to any of claims 6-8, wherein the processing module comprises:
the matching calculation unit is used for matching the basic information and the symptom information with a disease-symptom correlation matrix of the disease symptom database and calculating the matching correlation degree of each disease type;
and the screening unit is used for selecting a preset number of disease types with the matching correlation degrees arranged in front to obtain the disease information according to the size of the matching correlation degrees.
10. A storage medium having stored therein at least one instruction, which is loaded and executed by a processor to perform an operation performed by the disease information acquisition method according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010425948.7A CN111599489A (en) | 2020-05-19 | 2020-05-19 | Disease information acquisition method, terminal equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010425948.7A CN111599489A (en) | 2020-05-19 | 2020-05-19 | Disease information acquisition method, terminal equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111599489A true CN111599489A (en) | 2020-08-28 |
Family
ID=72192370
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010425948.7A Pending CN111599489A (en) | 2020-05-19 | 2020-05-19 | Disease information acquisition method, terminal equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111599489A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113157640A (en) * | 2020-12-31 | 2021-07-23 | 上海明品医学数据科技有限公司 | Family doctor auxiliary inquiry device, terminal and inquiry system |
| CN116614580A (en) * | 2023-07-18 | 2023-08-18 | 深圳捷工智能电气股份有限公司 | Multi-terminal call timely response communication method and system |
| CN116864150A (en) * | 2023-06-29 | 2023-10-10 | 中电科新型智慧城市研究院有限公司 | Medical pre-consultation auxiliary information generation method, device, equipment and storage medium |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102129526A (en) * | 2011-04-02 | 2011-07-20 | 中国医学科学院医学信息研究所 | Public-oriented method and system for medical treatment guide-type self-help triage registering |
| CN104616235A (en) * | 2015-03-06 | 2015-05-13 | 湖北中医药大学 | Physical examination and health consultation system and method in traditional Chinese medicine |
| CN106650261A (en) * | 2016-12-22 | 2017-05-10 | 上海智臻智能网络科技股份有限公司 | Intelligent inquiry method, device and system |
| CN106874643A (en) * | 2016-12-27 | 2017-06-20 | 中国科学院自动化研究所 | Build the method and system that knowledge base realizes assisting in diagnosis and treatment automatically based on term vector |
| CN108986871A (en) * | 2018-08-27 | 2018-12-11 | 东北大学 | A kind of construction method of intelligent medical treatment knowledge mapping |
| CN109215772A (en) * | 2018-11-07 | 2019-01-15 | 成都光魔科技有限公司 | A kind of guidance method and medical treatment hospital registration system of registering of seeing a doctor |
| CN109378077A (en) * | 2018-08-13 | 2019-02-22 | 北京康夫子科技有限公司 | The machine readable storage medium of history-taking method and execution this method before examining |
| CN109509551A (en) * | 2018-11-01 | 2019-03-22 | 新博卓畅技术（北京）有限公司 | A kind of common disease intelligent diagnosing method and system |
| CN110111886A (en) * | 2019-05-16 | 2019-08-09 | 闻康集团股份有限公司 | A kind of intelligent interrogation system and method based on XGBoost disease forecasting |
| CN110415818A (en) * | 2019-08-05 | 2019-11-05 | 儿康智能科技(苏州)有限公司 | A kind of intelligent pediatric disease interrogation system and method based on observable illness |
| CN110489566A (en) * | 2019-08-22 | 2019-11-22 | 上海软中信息***咨询有限公司 | A kind of hospital guide's method of intelligence hospital guide's service robot |
| CN110504028A (en) * | 2019-08-22 | 2019-11-26 | 上海软中信息***咨询有限公司 | A kind of disease way of inquisition, device, system, computer equipment and storage medium |
| CN111046272A (en) * | 2019-10-31 | 2020-04-21 | 九次方大数据信息集团有限公司 | Intelligent question-answering system based on medical knowledge map |
-
2020
- 2020-05-19 CN CN202010425948.7A patent/CN111599489A/en active Pending
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102129526A (en) * | 2011-04-02 | 2011-07-20 | 中国医学科学院医学信息研究所 | Public-oriented method and system for medical treatment guide-type self-help triage registering |
| CN104616235A (en) * | 2015-03-06 | 2015-05-13 | 湖北中医药大学 | Physical examination and health consultation system and method in traditional Chinese medicine |
| CN106650261A (en) * | 2016-12-22 | 2017-05-10 | 上海智臻智能网络科技股份有限公司 | Intelligent inquiry method, device and system |
| CN106874643A (en) * | 2016-12-27 | 2017-06-20 | 中国科学院自动化研究所 | Build the method and system that knowledge base realizes assisting in diagnosis and treatment automatically based on term vector |
| CN109378077A (en) * | 2018-08-13 | 2019-02-22 | 北京康夫子科技有限公司 | The machine readable storage medium of history-taking method and execution this method before examining |
| CN108986871A (en) * | 2018-08-27 | 2018-12-11 | 东北大学 | A kind of construction method of intelligent medical treatment knowledge mapping |
| CN109509551A (en) * | 2018-11-01 | 2019-03-22 | 新博卓畅技术（北京）有限公司 | A kind of common disease intelligent diagnosing method and system |
| CN109215772A (en) * | 2018-11-07 | 2019-01-15 | 成都光魔科技有限公司 | A kind of guidance method and medical treatment hospital registration system of registering of seeing a doctor |
| CN110111886A (en) * | 2019-05-16 | 2019-08-09 | 闻康集团股份有限公司 | A kind of intelligent interrogation system and method based on XGBoost disease forecasting |
| CN110415818A (en) * | 2019-08-05 | 2019-11-05 | 儿康智能科技(苏州)有限公司 | A kind of intelligent pediatric disease interrogation system and method based on observable illness |
| CN110489566A (en) * | 2019-08-22 | 2019-11-22 | 上海软中信息***咨询有限公司 | A kind of hospital guide's method of intelligence hospital guide's service robot |
| CN110504028A (en) * | 2019-08-22 | 2019-11-26 | 上海软中信息***咨询有限公司 | A kind of disease way of inquisition, device, system, computer equipment and storage medium |
| CN111046272A (en) * | 2019-10-31 | 2020-04-21 | 九次方大数据信息集团有限公司 | Intelligent question-answering system based on medical knowledge map |
Non-Patent Citations (2)
| Title |
|---|
| 刘莉;姚京京;李俊;陈先来;周宇葵;: "基于共词分析和可视化的高血压疾病关联性挖掘", 中国医学物理学杂志, no. 05, pages 614 - 620 * |
| 李保珍;苏菁;: "基于专家生成内容的领域知识图谱构建", 情报科学, no. 10, pages 13 - 19 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113157640A (en) * | 2020-12-31 | 2021-07-23 | 上海明品医学数据科技有限公司 | Family doctor auxiliary inquiry device, terminal and inquiry system |
| CN113157640B (en) * | 2020-12-31 | 2023-05-23 | 上海明品医学数据科技有限公司 | Auxiliary inquiry device, terminal and inquiry system for family doctor |
| CN116864150A (en) * | 2023-06-29 | 2023-10-10 | 中电科新型智慧城市研究院有限公司 | Medical pre-consultation auxiliary information generation method, device, equipment and storage medium |
| CN116614580A (en) * | 2023-07-18 | 2023-08-18 | 深圳捷工智能电气股份有限公司 | Multi-terminal call timely response communication method and system |
| CN116614580B (en) * | 2023-07-18 | 2023-09-22 | 深圳捷工智能电气股份有限公司 | Multi-terminal call timely response communication method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111599488A (en) | Intelligent inquiry implementing method, system and storage medium | |
| Di Tanna et al. | Evaluating risk prediction models for adults with heart failure: A systematic literature review | |
| Treloar et al. | Genetic influences on the age at menopause | |
| US11967433B1 (en) | Method and system for cardiac risk assessment of a patient using historical and real-time data | |
| US20130231957A1 (en) | Intelligent filtering of health-related information | |
| CN111599489A (en) | Disease information acquisition method, terminal equipment and storage medium | |
| CN112331298A (en) | Method and device for issuing prescription, electronic equipment and storage medium | |
| US20170177796A1 (en) | Method and system for intelligent completion of medical record based on big data analytics | |
| CN111899838B (en) | Method for distributing trial tasks, terminal equipment and storage medium | |
| CN109598302B (en) | Method, device and equipment for predicting treatment cost and computer readable storage medium | |
| CN111696653A (en) | Diagnosis and treatment guiding method, device and system and computer readable storage medium | |
| CN111863243A (en) | Method and device for pre-inquiry of pharmacy, storage medium and electronic equipment | |
| EP3576043A1 (en) | Medical information management system, clinical information acquisition server, medical information management method, and program | |
| JP2014199597A (en) | Medical examination support program, medical examination support method and medical examination support device | |
| CN111128330A (en) | Automatic entry method and device for electronic case report table and related equipment | |
| WO2022151947A1 (en) | Pathological information monitoring method and apparatus, and electronic device and computer-readable medium | |
| JP2005196510A (en) | Medical institution search system | |
| CN111161817B (en) | Medical data standardized processing method, device, medium and electronic equipment | |
| CN112131339A (en) | Name standardization standard processing method, device, computer and storage medium | |
| KR20150125138A (en) | Personalized pregnant women care service providing system and method | |
| Corbiere et al. | French validation of the Verona service satisfaction Scale-VSSS-54F | |
| JP7272288B2 (en) | Medical information sharing system, medical information sharing method, and medical information sharing program | |
| KR102685632B1 (en) | Smart medical treatment system and method thereof | |
| JP2020067884A (en) | Medical information processor and program | |
| Singh et al. | A patient-centric machine learning-based phone application for predicting the risk of polycystic ovarian syndrome |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |