CN112307345A - Method and system for intelligent diagnosis based on sensory perception - Google Patents
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Abstract
The application discloses a method and a system for intelligent diagnosis based on sensory perception, wherein the method comprises the following steps: acquiring illness state data information of a patient, establishing a user portrait, and uploading the illness state data information; analyzing the disease condition data information to generate a diagnosis result and medication information, and pushing the diagnosis result and the medication information to the patient; and the patient generates a medicine list according to the diagnosis result and the medication information to order and purchase. By the method and the system, the medicine for the patient can be reasonably recommended, the diagnosis automation is realized, and the diagnosis efficiency is improved.
Description
Technical Field
The invention relates to the technical field of intelligent diagnosis systems. More specifically, the invention relates to a method and a system for intelligent diagnosis based on sensory perception.
Background
In recent years, with the rapid development of social economy, the living standard of people is remarkably improved and the living pressure is continuously increased, so that many common diseases are induced. At present, when the natural health condition of people has problems, the patients often cannot be treated quickly due to busy work and long waiting time of a hospital due to the lack of doctors. Therefore, the current difficulty and high-price medical care become a common problem which troubles the lives of people and arouses the high attention of the nation at the same time. The problem of difficulty in seeing a doctor means that people cannot conveniently and quickly obtain basic medical services, medical resources are unevenly distributed and are in shortage, a small disease with a threshold can find an expert to live in a hospital, and a large disease without a threshold can not be admitted in the hospital later.
At present, the robot technology research is continuously developed, and the automatic inquiry is realized in the aspect of medical treatment. Automatic medicine selling terminals such as automatic medicine selling machines can be commonly found in life, the automatic medicine selling terminals can work all day long, and great convenience is brought to medicine buying of people. However, most of the existing automatic medicine selling terminals are independent individuals, and can only manage the reserves and the medicine information data of the automatic medicine selling terminals, and the automatic medicine selling terminals cannot realize intelligent inquiry and update the medicine types according to the requirements.
Disclosure of Invention
The embodiment of the application provides an intelligent diagnosis method based on sensory perception, and the method is used for at least solving the problem of subjective factor influence in the related technology.
The invention provides a method for intelligent diagnosis based on sensory perception, which comprises the following steps:
the collection step comprises: acquiring illness state data information of a patient, establishing a user portrait, and uploading the illness state data information;
and (3) an analysis step: analyzing the disease condition data information to generate a diagnosis result and medication information, and pushing the diagnosis result and the medication information to the patient;
patient medicine purchasing step: and the patient generates a medicine list according to the diagnosis result and the medication information to order and purchase.
As a further improvement of the present invention, the collecting step specifically comprises the following steps:
a disease setting step: setting disease categories and adding detection items corresponding to the disease categories;
a disease selection step: the patient selects the corresponding disease category according to the condition of the patient;
and a detection item display step: displaying the detection items corresponding to the disease categories according to the patient selection;
detecting item entry: and the patient completes the information input of the detection items, generates and uploads the illness state data information.
As a further improvement of the present invention, the analyzing step specifically comprises the steps of:
and (3) data analysis step: analyzing the disease condition data information, and associating the disease condition data information with medicine data of similar diseases to obtain associated information;
a diagnosis generation step: and generating the diagnosis result and the medication information according to the associated information, and pushing the diagnosis result and the medication information to the patient.
As a further improvement of the present invention, in the step of entering the test items, the patient may add or delete the test items.
As a further improvement of the invention, in the step of purchasing the medicines by the patients, the list of medicines can be added or deleted.
As a further improvement of the present invention, the step of purchasing the medicines from the patients further comprises sending the list of the medicines after the addition and deletion processing to a pharmacy.
Based on the same invention idea, the invention also discloses a system for intelligent diagnosis based on sensory perception based on the method for intelligent diagnosis based on sensory perception disclosed by any invention creation,
the system for intelligent diagnosis based on sensory perception comprises:
the physical examination machine acquisition module is used for acquiring disease condition data information of a patient, establishing a user portrait and uploading the disease condition data information;
the server analysis module is used for analyzing the illness state data information, generating a diagnosis result and medication information and pushing the diagnosis result and the medication information to the patient;
and the patient medicine purchasing module is used for generating a medicine list for ordering and purchasing according to the diagnosis result and the medicine information by the patient.
As a further improvement of the present invention, the body measuring machine acquisition module comprises:
a disease setting unit that sets a disease category and adds a detection item corresponding to the disease category;
the disease selection unit is used for selecting the corresponding disease category according to the disease condition of the patient;
the detection item display unit is used for displaying the detection items corresponding to the disease categories according to the patient selection;
and the detection item entry unit is used for completing the entry of the detection item information by the patient, generating and uploading the illness state data information.
As a further improvement of the present invention, the server analysis module includes:
the data analysis unit is used for analyzing the disease condition data information, correlating the disease condition data information with medicine data of similar diseases and acquiring correlation information;
and the diagnosis generating unit is used for generating the diagnosis result and the medication information according to the associated information and pushing the diagnosis result and the medication information to the patient.
As a further improvement of the present invention, the detection item entry unit is provided with a detection item adding and deleting unit, and the patient can perform addition and deletion processing on the detection items.
Compared with the prior art, the invention has the following beneficial effects:
1. the method can acquire and store user data through touch contact, body temperature detection, heart rate detection and the like of a machine, establish a user portrait, analyze the body condition of a client according to common symptoms and realize intelligent inquiry;
2. the information of ordering the medicines of the user can be distributed to the pharmacy selected by the user, so that the time is saved for the user to buy and take the medicines, and great convenience is brought to the user;
3. medication related rational recommendations are made through machine sensory perception to avoid direct contact between a physician and a patient;
4. compared with human brain memory, the disease speculation result is more accurate, and the fault tolerance rate is increased.
The details of one or more embodiments of the application are set forth in the accompanying drawings and the description below to provide a more thorough understanding of the application.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is an overall flowchart of a method for intelligent diagnosis based on sensory perception according to an embodiment of the present invention;
FIG. 2 is an overall flowchart of the step S1 disclosed in FIG. 1;
FIG. 3 is an overall flowchart of the step S2 disclosed in FIG. 1;
FIG. 4 is a structural framework diagram of a system for intelligent diagnosis based on sensory perception according to an embodiment of the present invention;
fig. 5 is a block diagram of a computer device according to an embodiment of the present invention.
In the above figures:
100. a body measuring machine acquisition module; 200. a service period analysis module; 300. a patient medicine purchasing module; 101. a disease setting unit; 102. a disease selection unit; 103. a detection item display unit; 104. a detection item entry unit; 1041. a detection item deletion unit; 201. a data analysis unit; 202. a diagnosis generation unit; 203. a medication order delivery unit; 301. a medicine adding and deleting unit; 80. a bus; 81. a processor; 82. a memory; 83. a communication interface.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments provided in the present application without any inventive step are within the scope of protection of the present application.
It is obvious that the drawings in the following description are only examples or embodiments of the present application, and that it is also possible for a person skilled in the art to apply the present application to other similar contexts on the basis of these drawings without inventive effort. Moreover, it should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions must be made to achieve the developers' specific goals, such as compliance with system-related and business-related constraints, which may vary from one implementation to another.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the specification. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of ordinary skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments without conflict.
Unless defined otherwise, technical or scientific terms referred to herein shall have the ordinary meaning as understood by those of ordinary skill in the art to which this application belongs. Reference to "a," "an," "the," and similar words throughout this application are not to be construed as limiting in number, and may refer to the singular or the plural. The present application is directed to the use of the terms "including," "comprising," "having," and any variations thereof, which are intended to cover non-exclusive inclusions; for example, a process, method, system, article, or apparatus that comprises a list of steps or modules (elements) is not limited to the listed steps or elements, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. Reference to "connected," "coupled," and the like in this application is not intended to be limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The term "plurality" as referred to herein means two or more. "and/or" describes an association relationship of associated objects, meaning that three relationships may exist, for example, "A and/or B" may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. Reference herein to the terms "first," "second," "third," and the like, are merely to distinguish similar objects and do not denote a particular ordering for the objects.
The present invention is described in detail with reference to the embodiments shown in the drawings, but it should be understood that these embodiments are not intended to limit the present invention, and those skilled in the art should understand that functional, methodological, or structural equivalents or substitutions made by these embodiments are within the scope of the present invention.
Before describing in detail the various embodiments of the present invention, the core inventive concepts of the present invention are summarized and described in detail by the following several embodiments.
The invention can carry out intelligent diagnosis on the patient, generate a diagnosis result and medication information and push the diagnosis result and the medication information to the patient, thereby effectively improving the efficiency of disease diagnosis and medication taking.
The first embodiment is as follows:
referring to fig. 1 to 3, this example discloses an embodiment of a method for intelligent diagnosis based on sensory perception (hereinafter referred to as "method").
Specifically, referring to fig. 1, the method disclosed in this embodiment mainly includes the following steps:
step S1, collecting disease data information of the patient, establishing a user portrait, and uploading the disease data information.
In some embodiments, referring to fig. 2, step S1 specifically includes the following steps:
s11, setting disease categories and adding detection items corresponding to the disease categories;
s12, selecting the corresponding disease category according to the disease condition of the patient;
s13, displaying the detection items corresponding to the disease categories according to the patient selection;
and S14, completing the information entry of the detection items by the patient, generating and uploading the disease condition data information.
In some embodiments, the user first performs a login registration on the physical testing machine before the step S1. For example: patients can register the users through mobile phone numbers or register and log in through two-dimensional codes provided by WeChat scanning, so that diagnosis results and medication information can be pushed to the users at a later period.
Specifically, in some embodiments, the condition data information may be collected by an audio device or manually entered and uploaded to a remote database. The remote database means that the database is stored on the computers of other people, such as local area network office software, the database is stored on a server, so that records accessed by all people are stored in the remote database, and the function can also be used on the internet, such as a database of a website.
Specifically, in some embodiments, the physical testing machine provides a disease category and test items corresponding to the disease category, for example, the disease category is: the detection items correspondingly provided for diseases of digestive system, respiratory system, rheumatism bone fracture, cold symptoms, skin symptoms and the like are as follows: body temperature measurement, throat picture shooting, blood detection and the like; for the skin disease, the corresponding provided detection items are as follows: blood detection, picture shooting of an affected part, optical lens detection of the affected part and the like; for the respiratory system, the corresponding detection items are provided as follows: bronchoscopy, bronchoiography, lymph node biopsy, etc.
Specifically, in some embodiments, the patient may perform an add-drop process on the detection items in step S14. For example: when a patient has a cold but does not feel the sore throat, the 'throat picture shooting' in the 'cold symptom' detection item can be deleted; when the patient has cold but the body temperature is abnormal, the body temperature measurement in the detection item of cold symptoms can be deleted.
Specifically, in some embodiments, the user data collection is put in storage in step S14 through tactile touch of the body measuring machine, body temperature detection, heart rate detection, and the like. The body temperature detection is a commonly used examination method for diagnosing diseases, and comprises three types of oral cavity temperature measurement, armpit temperature measurement and anus temperature measurement, and can be used for preventing and diagnosing clinical diseases, if the following conditions occur: the oral cavity temperature is not between 36.5 and 37.5 ℃, the armpit temperature is not between 36 and 37 ℃, the anus temperature is not between 37 and 38 ℃, and the patient with abnormal body temperature is mainly the patient who feels cold and hot, rubs and generates heat on the whole body or has low blood sugar. The heart rate is an index reflecting the heart function, generally, the heart rate is used together with other indexes to judge diseases, and heart rate tests can predict heart diseases so as to treat the diseases in time.
Then, referring to fig. 3, step S2 is executed to analyze the disease condition data information, generate a diagnosis result and medication information, and push the diagnosis result and the medication information to the patient.
In some embodiments, step S2 specifically includes the following steps:
s21, analyzing the disease condition data information, and associating the disease condition data information with medicine data of similar diseases to obtain associated information;
s22, generating the diagnosis result and the medication information according to the associated information, and pushing the diagnosis result and the medication information to the patient.
Specifically, the server analyzes the received disease data and performs correlation analysis on the disease data of the patient and the medicine data of the same disease, wherein the correlation analysis is to find interesting correlation and related relations among the item sets from a large amount of data. And obtaining corresponding diagnosis results and medication recommendation according to the association relation, and pushing the diagnosis results and the medication recommendation to the user. For example: the method can be sent to an account number provided by the user during registration in a short message or WeChat push mode.
And then step S3 is executed, and the patient generates a medicine list according to the diagnosis result and the medication information to make an order purchase.
Specifically, in some embodiments, after obtaining the recommended medication list, the patient may add or delete the medication list, and then order the medication. For example: if the medication list is recommended to the patient in a WeChat form, the form similar to the form of ordering by an applet can be adopted; if the medicine list is recommended to the patient in the form of short message, the short message can be provided to a pharmacy staff for directly taking medicine.
Specifically, in some embodiments, the method further comprises sending the list of the added and deleted medicines to a pharmacy after the patient purchases the medicines. The patient can select the pharmacy for taking the medicine by himself, after the medicine list is processed, the server can send the medicine list to the pharmacy, and the patient can go to the pharmacy directly to take the medicine.
According to the method for intelligently diagnosing based on sensory perception, disclosed by the embodiment of the application, user data can be collected and put in storage through touch contact of a machine, body temperature detection, heart rate detection and the like, a user portrait is established, the condition of the body of a customer is analyzed according to common symptoms, intelligent inquiry is realized, the information of ordering the medicines of the user can be distributed to a pharmacy selected by the user, the time for the user to buy and take the medicines is saved, great convenience is brought to the user, meanwhile, related and reasonable recommendation of medicine taking is carried out through the sensory perception of the machine, so that a doctor is prevented from being in direct contact with the patient, the disease presumption result is more accurate than human brain memory, and the fault tolerance rate is increased.
The details of one or more embodiments of the application are set forth in the accompanying drawings and the description below to provide a more thorough understanding of the application.
Example two:
in combination with the method for intelligent diagnosis based on sensory perception disclosed in the first embodiment, this embodiment discloses a specific implementation example of a system (hereinafter referred to as "system") for intelligent diagnosis based on sensory perception.
Referring to fig. 4, the system includes:
the physical examination machine acquisition module 100 is used for acquiring disease condition data information of a patient, establishing a user portrait and uploading the disease condition data information;
the server analysis module 200 is used for analyzing the disease condition data information, generating a diagnosis result and medication information and pushing the diagnosis result and the medication information to the patient;
and a patient medicine purchasing module 300, wherein the patient generates a medicine list according to the diagnosis result and the medication information to purchase an order.
In some of these embodiments, the somatome acquisition module 100 comprises:
a disease setting unit 101 that sets a disease category and adds a detection item corresponding to the disease category;
a disease selection unit 102, wherein the patient selects the corresponding disease category according to the condition of the patient;
a detection item display unit 103 for displaying the detection items corresponding to the disease categories according to the patient selection;
and a detection item entry unit 104, wherein the patient completes the entry of the detection item information, generates and uploads the illness state data information.
In some of these embodiments, the server analysis module 200 comprises:
a data analysis unit 201, configured to analyze the disease condition data information, associate the disease condition data information with medicine data of similar diseases, and acquire associated information;
the diagnosis generating unit 202 generates the diagnosis result and the medication information according to the associated information, and pushes the diagnosis result and the medication information to the patient.
In some embodiments, a detection item adding and deleting unit 1041 is provided in the detection item entry unit 104, and the patient can add and delete the detection item.
In some embodiments, the patient medicine purchasing module 300 is provided with a medicine adding and deleting unit 301, which can add and delete the medicine list.
In some embodiments, the server analysis module 200 further includes a drug list dispatching unit 203, configured to receive the processed drug list of the patient and dispatch the added and deleted processed drug list to a pharmacy.
Please refer to the description of the first embodiment, and details thereof are not repeated herein.
Example three:
referring to FIG. 5, the embodiment discloses an embodiment of a computer device. The computer device may comprise a processor 81 and a memory 82 in which computer program instructions are stored.
Specifically, the processor 81 may include a Central Processing Unit (CPU), or A Specific Integrated Circuit (ASIC), or may be configured to implement one or more Integrated circuits of the embodiments of the present Application.
The memory 82 may be used to store or cache various data files for processing and/or communication use, as well as possible computer program instructions executed by the processor 81.
The processor 81 reads and executes the computer program instructions stored in the memory 82 to implement any one of the above-described embodiments of the method for intelligent diagnosis based on sensory perception.
In some of these embodiments, the computer device may also include a communication interface 83 and a bus 80. As shown in fig. 5, the processor 81, the memory 82, and the communication interface 83 are connected via the bus 80 to complete communication therebetween.
The communication interface 83 is used for implementing communication between modules, devices, units and/or equipment in the embodiment of the present application. The communication port 83 may also be implemented with other components such as: the data communication is carried out among external equipment, image/data acquisition equipment, a database, external storage, an image/data processing workstation and the like.
The computer device can analyze the patient condition data information based on sensory perception to obtain diagnosis results and medication information, thereby implementing the method described in conjunction with fig. 1.
In addition, in combination with the method for intelligent diagnosis based on sensory perception in the foregoing embodiments, the embodiments of the present application may be implemented by providing a computer-readable storage medium. The computer readable storage medium having stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement any of the above-described embodiments of a method for intelligent diagnosis based on sensory perception.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
In summary, the method for intelligent diagnosis based on sensory perception disclosed by the invention has the beneficial effects that the user data can be collected and put in storage through the touch contact, the body temperature detection, the heart rate detection and the like of the machine, the user portrait is established, the body condition of a customer is analyzed according to common symptoms, the intelligent inquiry is realized, the order information of the user medicine can be distributed to a pharmacy selected by the user, the time for the user to buy and take the medicine is saved, great convenience is brought to the user, meanwhile, the medicine is reasonably recommended through the sensory perception of the machine, so that a doctor is prevented from being in direct contact with the patient, the disease presumption result is more accurate than the human brain memory, and the fault tolerance rate is increased.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method for intelligent diagnosis based on sensory perception is characterized by comprising the following steps:
the collection step comprises: acquiring illness state data information of a patient, establishing a user portrait, and uploading the illness state data information;
and (3) an analysis step: analyzing the disease condition data information to generate a diagnosis result and medication information, and pushing the diagnosis result and the medication information to the patient;
patient medicine purchasing step: and the patient generates a medicine list according to the diagnosis result and the medication information to order and purchase.
2. The method for intelligent diagnosis based on sensory perception according to claim 1, wherein the step of acquiring specifically comprises the steps of:
a disease setting step: setting disease categories and adding detection items corresponding to the disease categories;
a disease selection step: the patient selects the corresponding disease category according to the condition of the patient;
and a detection item display step: displaying the detection items corresponding to the disease categories according to the patient selection;
detecting item entry: and the patient completes the information input of the detection items, generates and uploads the illness state data information.
3. A method for intelligent diagnosis based on sensory perception according to claim 1, characterized in that said analyzing step comprises in particular the steps of:
and (3) data analysis step: analyzing the disease condition data information, and associating the disease condition data information with medicine data of similar diseases to obtain associated information;
a diagnosis generation step: and generating the diagnosis result and the medication information according to the associated information, and pushing the diagnosis result and the medication information to the patient.
4. A method as claimed in claim 2, wherein the patient can add or delete the test items in the test item entry step.
5. A method as claimed in claim 1, wherein the list of drugs is processed by adding or deleting in the step of purchasing drugs from the patient.
6. A method for intelligent sensory perception-based diagnosis according to claim 1 wherein the patient purchase order step further comprises dispatching the add-drop processed drug list to a pharmacy.
7. A system for intelligent diagnosis based on sensory perception, which operates the method for intelligent diagnosis based on sensory perception according to any one of claims 1 to 6,
the system for intelligent diagnosis based on sensory perception comprises:
the physical examination machine acquisition module is used for acquiring disease condition data information of a patient, establishing a user portrait and uploading the disease condition data information;
the server analysis module is used for analyzing the illness state data information, generating a diagnosis result and medication information and pushing the diagnosis result and the medication information to the patient;
and the patient medicine purchasing module is used for generating a medicine list for ordering and purchasing according to the diagnosis result and the medicine information by the patient.
8. The system for intelligent diagnosis based on sensory perception according to claim 7, wherein the body measuring machine acquisition module comprises:
a disease setting unit that sets a disease category and adds a detection item corresponding to the disease category;
the disease selection unit is used for selecting the corresponding disease category according to the disease condition of the patient;
the detection item display unit is used for displaying the detection items corresponding to the disease categories according to the patient selection;
and the detection item entry unit is used for completing the entry of the detection item information by the patient, generating and uploading the illness state data information.
9. The system for intelligent diagnosis based on sensory perception according to claim 7, wherein the server analysis module comprises:
the data analysis unit is used for analyzing the disease condition data information, correlating the disease condition data information with medicine data of similar diseases and acquiring correlation information;
and the diagnosis generating unit is used for generating the diagnosis result and the medication information according to the associated information and pushing the diagnosis result and the medication information to the patient.
10. The system for intelligent diagnosis based on sensory perception according to claim 8, wherein a detection item adding and deleting unit is provided in the detection item entry unit, and the patient can add and delete the detection item.
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