WO2022141929A1

WO2022141929A1 - Health self-test system, server, and health testing system

Info

Publication number: WO2022141929A1
Application number: PCT/CN2021/086318
Authority: WO
Inventors: 樊代明; 钟南山; 姚娟娟
Original assignee: 上海明品医学数据科技有限公司
Priority date: 2020-12-31
Filing date: 2021-04-11
Publication date: 2022-07-07
Also published as: CN113140315A; CN113140315B

Abstract

A health self-test system, a server, and a health testing system. The health self-test system comprises: a self-test template generation module for generating a self-test template, wherein the self-test template is used for prompting a user to input health information; a health information receiving module for receiving the health information input by the user; a self-test template updating module, which is connected to the self-test template generation module and the health information receiving module and used for updating the self-test template according to the health information of the user, wherein the updated self-test template is used for prompting the user to continue to input health information; and a self-test report generation module, which is connected to the health information receiving module and used for generating a self-test report of the user according to the health information of the user. The health self-test system can allow a user to quickly and conveniently perform health self-testing.

Description

A health self-test system, server and health detection system

technical field

The invention belongs to the field of medical treatment or health data processing, and relates to a health self-test system, in particular to a health self-test system, a server and a health test system.

Background technique

In recent years, with the improvement of people's health awareness and the popularization of terminal devices, more and more users tend to use terminal devices to obtain their own health status. Compared with the way of visiting a hospital, using terminal equipment to obtain one's own health status can save people's medical costs and alleviate the problem of shortage of medical resources, so it is more and more favored. At present, in the existing scheme of using a terminal device to obtain one's own health status, the user needs to select the target disease to be tested according to his own situation, and fill in the test form for the target disease; the filling result of the test form is used to determine the user's health status. Health status.

However, the inventor found that users generally have less medical knowledge, and different diseases often have the same or similar symptoms and signs. In practical applications, it is difficult for users to directly select the target diseases to be tested according to their own conditions, such as respiratory infections, Diseases such as colds, tuberculosis, acute pharyngitis, and subdiaphragmatic interference can all cause the user to have a fever. When the user has a fever, it is difficult to determine which of the above diseases to select as the target disease. Therefore, in the existing solution, the user is required to select the target disease to be tested according to his own situation, which brings great inconvenience to the user.

SUMMARY OF THE INVENTION

In view of the above-mentioned shortcomings of the prior art, the purpose of the present invention is to provide a health self-testing system, a server and a health testing system to solve the problem in the prior art that users are required to select the target disease to be tested according to their own conditions .

In order to achieve the above purpose and other related purposes, a first aspect of the present invention provides a health self-test system; the health self-test system includes: a self-test template generation module for generating a self-test template; It prompts the user to input health information; the health information receiving module is used to receive the health information input by the user; the self-test template updating module is connected with the self-test template generating module and the health information receiving module, and is used for according to the health information of the user. information to update the self-test template; the updated self-test template is used to prompt the user to continue to input health information; the self-test report generation module is connected to the health information receiving module, and is used for according to the health information of the user. information to generate the user's self-test report.

In an embodiment of the first aspect, the self-test template generating module generates a user's personalized self-test template according to the user's health file and/or historical self-test report.

In an embodiment of the first aspect, the self-assessment template includes a symptom self-assessment sub-template, an indicator self-assessment sub-template and/or a profile information sub-template; wherein the symptom self-assessment sub-template is used to prompt the user Input symptom sub-information, the indicator self-test sub-template is used to prompt the user to input the indicator sub-information, and the profile information sub-template is used to prompt the user to input the profile sub-information; the health information includes symptom sub-information, indicator sub-information and/or or file sub-information.

In an embodiment of the first aspect, the self-test template updating module includes: a related disease search unit, connected to the health information receiving module, for searching in an association model according to the user's health information related diseases; a self-test template update unit, connected with the related disease search unit and the self-test template generation module, is used to obtain disease information of the related diseases according to the correlation model, and then perform the self-test template on the self-test template. Update; the disease information includes symptoms and signs, examination indicators and/or profile related information.

In an embodiment of the first aspect, the self-assessment template includes a symptom self-assessment sub-template; the symptom self-assessment sub-template includes a symptom prompt label; The information updates the number and/or type of symptom alert labels.

In an embodiment of the first aspect, the self-assessment template includes an index self-assessment sub-template; the index self-assessment sub-template includes an index prompt label; the self-assessment template updating unit is based on the disease of the related disease. The information updates the number and/or type of the indicator prompting tags.

In an embodiment of the first aspect, the self-assessment template includes a profile information sub-template; the profile information sub-template includes a profile prompt label; the self-test template updating unit updates the data according to the disease information of the related disease. The archive prompts the number and/or type of tags to be updated.

In an embodiment of the first aspect, the self-test template updating module further includes: an association model updating unit, connected to the health information receiving module, for updating the association model according to the user's health information. to update.

In an embodiment of the first aspect, the correlation model includes at least one disease and its corresponding symptoms and signs and examination indicators; wherein the disease includes at least one subtype, and the symptoms and signs include at least one attribute, the inspection index includes at least one classification.

In an embodiment of the first aspect, the self-test template generation module is further configured to read profile sub-information from the user's health profile.

In an embodiment of the first aspect, the health information receiving module is further configured to receive the user's health information acquired by the health collection device.

In an embodiment of the first aspect, the health information receiving module further includes: a detection report receiving unit, used to obtain a user's detection report; a detection report identification unit, connected to the detection report receiving unit, used for The detection report is identified to obtain the user's health information.

In an embodiment of the first aspect, the health information receiving module further includes: a medical image receiving unit, used for acquiring the medical image of the user; a medical image recognition unit, connected with the medical image receiving unit, used for The medical image is identified to obtain the user's health information.

In an embodiment of the first aspect, the self-test report includes the category of the suspected disease, symptoms and signs, and inspection indicators; the user may perform a secondary test according to the category, symptoms and signs, and inspection indicators of the suspected disease.

In an embodiment of the first aspect, the self-test report includes the user's suspected diseases and the prevalence probability of each suspected disease.

In an embodiment of the first aspect, the health self-test system further includes: a disease risk early warning module, connected to the self-test report generation module, for judging the user's disease risk degree according to the self-test report. , and give an early warning to the user and/or the family doctor according to the disease risk degree.

In an embodiment of the first aspect, the self-test report generating module is further configured to update the user's health profile according to the user's self-test report.

In an embodiment of the first aspect, the health self-test system further includes: a storage module, which is connected with the self-test template generation module, the health information receiving module, the self-test template update module, and the self-test template update module. The self-test report generating modules are respectively connected to store historical self-test reports, user's health information, association models, health records and/or medical standard word base.

In an embodiment of the first aspect, the health self-assessment system further includes: an auxiliary information input module, configured to obtain text information input by the user, and determine relevant health information standard words according to the text information, and then The relevant health information standard words are sent to the user to prompt the user for input.

In an embodiment of the first aspect, the health self-test system further includes: a communication module, connected to the self-test report generation module, for sending the self-test report to a user and/or a family doctor .

A second aspect of the present invention provides a health self-test server, where the health self-test server includes the health self-test system described in any one of the above.

A third aspect of the present invention provides a health detection system, the health detection system includes: a user self-test terminal for displaying an initial self-test template or an updated self-test template, and for acquiring and sending the user's health information The health information is generated by the user according to the initial self-test template or the updated self-test template; the health self-test server, including the health self-test system described in any of the above; the health self-test server and all The user self-test terminal is communicatively connected to generate the initial self-test template and the updated self-test template, and generate a user's self-test report according to the user's health information; the updated self-test template Obtained by updating the initial self-test template by the health self-test server according to the user's health information, or by updating the updated self-test template by the health self-test server according to the user's health information; A diagnosis terminal, connected in communication with the health self-test server, is used to obtain a self-test report of the user.

As mentioned above, the health self-test system, server and health detection system of the present invention have the following beneficial effects:

In the health self-test system, the self-test template generation module can generate a self-test template, and the self-test template update module can update the self-test template according to the health information that the user has input. The user only needs to input the corresponding health information according to the prompt of the self-test template, and he does not need to select the target disease to be tested according to his own situation. Therefore, the health self-test system can solve the technical problem of "the existing solution requires the user to select the target disease to be tested according to his own situation", which is beneficial for the user to quickly and conveniently realize the health self-test.

Description of drawings

FIG. 1 shows an example diagram of using a terminal device to obtain one's own health status in some embodiments.

FIG. 2 shows an example diagram of using a terminal device to obtain one's own health status in some embodiments.

FIG. 3A is a schematic structural diagram of the health self-assessment system according to the present invention in a specific embodiment.

FIG. 3B is a diagram showing the correlation between the health information acquired by the health self-assessment system according to the present invention in a specific embodiment.

FIG. 4A shows a working flow chart of the health self-testing system according to an embodiment of the present invention.

FIG. 4B shows a working flow chart of the health self-testing system according to the present invention in another specific embodiment.

FIG. 4C shows a work flow chart of the health self-testing system according to the present invention in another specific embodiment.

FIG. 5 is a diagram showing an example of a self-test template of the health self-test system according to the present invention in a specific embodiment.

FIG. 6A is a schematic structural diagram of a self-test template updating module in a specific embodiment of the health self-test system according to the present invention.

FIG. 6B is a diagram showing an example of an association model of the health self-assessment system according to an embodiment of the present invention.

FIG. 7A is an exemplary diagram of a symptom self-test sub-template of the health self-test system according to an embodiment of the present invention.

FIG. 7B shows an example diagram of an index self-test sub-template in a specific embodiment of the health self-test system according to the present invention.

FIG. 7C is a diagram illustrating an example of a profile information sub-template in a specific embodiment of the health self-assessment system of the present invention.

FIG. 8A shows a flow chart of the calculation of the disease probability in a specific embodiment of the health self-assessment system of the present invention.

FIG. 8B is a flow chart showing the calculation flow of the disease probability in the health self-assessment system of the present invention in another specific embodiment.

FIG. 9 is a schematic structural diagram of the health self-testing system according to the present invention in a specific embodiment.

FIG. 10 is a schematic structural diagram of the health detection system according to the present invention in a specific embodiment.

Component label description

2 Health Self-Assessment System

21 Self-test template generation module

22 Health information receiving module

23 Self-test template update module

231 Related Disease Search Unit

232 Self-test template update unit

24 Self-test report generation module

25 Disease risk early warning module

26 storage modules

27 Auxiliary information input module

28 Association Model

5 Self-test template

51 Symptom Self-Assessment Sub-template

511 Symptom alert label

512 Symptom alert label

513 Symptom input text box

52 Indicator self-test sub-template

521 Indicator prompt label

522 Indicator prompt label

523 Indicator input text box

53 File information sub-template

531 The first file sub-information tag

532 Second file sub-information tag

533 File input text box

Steps S11～S13

Steps S21～S22

Detailed ways

The embodiments of the present invention are described below through specific specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments can be combined with each other under the condition of no conflict.

It should be noted that the drawings provided in the following embodiments are only used to illustrate the basic concept of the present invention in a schematic way, so the drawings only show the components related to the present invention rather than the number, shape and number of components in actual implementation. For dimension drawing, the type, quantity and proportion of each component can be changed at will in actual implementation, and the component layout may also be more complicated.

In recent years, with the improvement of people's health awareness and the popularization of terminal devices, more and more users tend to use terminal devices to obtain their own health status. Please refer to FIG. 1 and FIG. 2 , which are exemplary diagrams of using a terminal device to obtain one's own health status in some embodiments. In these embodiments, the user needs to select the target disease to be tested from Fig. 1 according to his own situation, for example: hypertension; after that, the user needs to fill in the relevant information of hypertension shown in Fig. 2 and submit it according to the prompt; After the information is submitted, it is used to determine the user's health status. However, in practical applications, users generally have less medical knowledge, and it is difficult to select an appropriate target disease conveniently and quickly according to their own conditions. Therefore, in these embodiments, users are required to select a target disease to be tested according to their own conditions, which brings the user a lot of trouble. Great inconvenience.

In view of the above problems, the present invention provides a health self-testing system. The health self-test system includes: a self-test template generation module for generating a self-test template; the self-test template for prompting the user to input health information; a health information receiving module for receiving the health information input by the user; the self-test a template updating module, connected with the self-test template generating module and the health information receiving module, for updating the self-test template according to the user's health information; the updated self-test template is used to prompt the user to continue Health information is input; a self-test report generating module is connected to the health information receiving module, and is configured to generate a user's self-test report according to the user's health information. Therefore, the health self-test system of the present invention generates a self-test template through the self-test template generation module to prompt the user to input health information; and the self-test template update module can update the self-test template according to the health information that the user has input. An update is made to prompt the user to enter more health information. The health self-test system of the present invention does not require the user to select the target disease to be tested according to his own situation, and the user only needs to input the corresponding health information according to the prompt of the self-test template, so the health self-test system of the present invention can solve the problem The technical problem of "the existing solution requires the user to select the target disease to be tested according to his own situation" is conducive to the user's quick and convenient health self-test.

Referring to FIG. 3A, in an embodiment of the present invention, the health self-test system 2 includes:

The self-test template generation module 21 is used to generate a self-test template; wherein, the self-test template generated by the self-test template generation module 21 is an initial self-test template, which is used to prompt the user to input health information; the health information includes the user's Physical condition information, psychological condition information and/or living habit information, etc. Preferably, the self-test template is a general self-test template generated by the self-test template generation module 21 according to the current season and disease prevalence, or is generated by the self-test template generation module 21 according to different situations of each user. Personalized self-test templates.

The health information receiving module 22 is configured to receive the health information input by the user.

The self-test template updating module 23 is connected to the self-test template generating module 21 and the health information receiving module 22, and is used for updating the self-test template according to the user's health information; the updated self-test template Used to prompt the user to continue entering health information.

The self-test report generating module 24 is connected to the health information receiving module 22, and is configured to generate a user's self-test report according to the user's health information.

In an embodiment of the present invention, the self-test template updating module 23 is further configured to acquire the association between multiple pieces of health information, and the association can be represented by the association diagram shown in FIG. 3B . The association between the multiple pieces of health information can be obtained through statistics. For example, if the health information of 900 patients includes both health information 1 and health information 2 among 1,000 patients, it means that health information 1 and health information 2 are There is an association between health information 2. Alternatively, the association between the multiple pieces of health information may be defined according to medical knowledge. For example, if fever is commonly accompanied by cough, it means that there is an association between fever and cough.

In this embodiment, the self-test template updating module 23 can update the self-test template according to the association between the multiple pieces of health information. Specifically, the self-test template update module 23 obtains all the health information associated with I according to the currently obtained health information I of the user and deletes the health information of the user that has been obtained currently, as the information to be prompted, and The weight value of each health information in the information to be prompted is calculated separately. Based on this, the self-test template updating module 23 updates the self-test template according to the weight value of each health information in the information to be prompted. For example, the updated self-test template prompts the user to input the information contained in the information to be prompted. All health information, and give priority to prompting the user to input health information with high weight value. For any health information A in the information to be prompted, the calculation method of its weight value R(A) is:

Among them, p _A represents the probability that the user will continue to input other health information after inputting the last piece of health information. This value can be obtained by counting the input of multiple users, and its value range is 0 to 1; N is the association with health information A. The number of all health information; R(B _i ) represents the weight value of the i-th health information B _i associated with health information A, and Num(B _i ) represents the number of all health information associated with health information B _i . In a specific application, the weight value of each health information in the information to be prompted can be set to 1, and the weight value of each health information can be updated in the form of one or more iterations; wherein, each iteration A value of R(A) will be obtained, and the specific number of iterations can be set according to actual needs.

Next, the above process will be described in detail through an example. If the currently acquired health information I of the user includes health information 1 and health information 2, the information to be prompted includes health information 3, health information 4, and health information 6.

In the first iteration process, let the weight value of all health information be 1, and take p _A =0.5, then the weight value of health information 3 is

The weight of health information 4 is

The weight of health information 6 is

Based on this iteration, the updated health template can prompt the user to input health information 3, health information 4 and health information 6, and the priority of the prompt is: health information 4>health information 6>health information 3.

It should be noted that, in specific applications, the weight value of each health information can also be recalculated according to the weight value obtained after the first iteration to complete the second iteration, and the user can be determined according to the weight value obtained after the second iteration. Priority for prompting. Further, a third iteration can be performed on the basis of the second iteration, and so on. In this process, the more iterations, the more accurate the calculation of the priority, but it will increase the amount of calculation.

Referring to FIG. 4A, in an embodiment of the present invention, after receiving the initial self-test template generated by the self-test template generation module 21, the user inputs the corresponding first health information according to the prompt of the initial self-test template and send. After the health information receiving module 22 receives the first health information, the self-test report generating module 24 generates a user's self-test report according to the first health information. The first health information refers to the health information input by the user according to the prompt of the initial self-test template.

Referring to FIG. 4B, in an embodiment of the present invention, after receiving the initial self-test template generated by the self-test template generation module 21, the user inputs corresponding first health information according to the prompt of the initial self-test template and send. After the health information receiving module 22 receives the first health information, the self-test template updating module 23 updates the initial self-test template according to the first health information and obtains a first update template. After receiving the first update template, the user inputs the corresponding second health information and sends it. After the health information receiving module 22 receives the second health information, the self-test report generating module 24 generates a user's self-test report according to the second health information. The second health information refers to the health information input by the user according to the prompt of the first update template.

Referring to FIG. 4C, in an embodiment of the present invention, after receiving the initial self-test template generated by the self-test template generation module 21, the user inputs the corresponding first health information according to the prompt of the initial self-test template and send. After the health information receiving module 22 receives the first health information, the self-test template updating module 23 updates the initial self-test template according to the first health information and obtains a first update template. After receiving the first update template, the user inputs the corresponding second health information and sends it. After the health information receiving module 22 receives the second health information, the self-test template updating module 23 updates the first update template according to the second health information and obtains a second update template. After receiving the second update template, the user inputs the corresponding third health information and sends it. After the health information receiving module 22 receives the third health information, the self-test report generating module 24 generates a user's self-test report according to the third health information. Wherein, the third health information refers to the health information input by the user according to the prompt of the second update template.

In an embodiment of the present invention, the self-test template generating module generates a user's personalized self-test template according to the user's health file and/or historical self-test report. The user's health file includes gender, age, place of residence, disease history, genetic history, allergy history, medication history, and the like. For example, if a user's health file records that the user has a history of hypertension and a genetic history of heart disease, the self-test template generation module can add the self-test template to the self-test template according to the genetic history and disease history. Relevant prompt information of hypertension and heart disease, so as to generate the user's personalized self-test template.

In an embodiment of the present invention, the health information includes symptom sub-information, index sub-information and/or profile sub-information; the self-assessment template includes symptom self-assessment sub-template, index self-assessment sub-template and/or profile information sub-template; wherein, the symptom self-assessment sub-template is used to prompt the user to input symptom sub-information, the indicator self-assessment sub-template is used to prompt the user to input the indicator sub-information, and the profile detailed information sub-template is used to prompt the user to input the profile sub information.

Specifically, referring to FIG. 5, the self-test template 5 includes a symptom self-test sub-template 51, an indicator self-test sub-template 52 and/or a profile information sub-template 53; wherein the symptom self-test sub-template 51 is used for prompting The user inputs symptom sub-information, the indicator self-test sub-template 52 is used to prompt the user to input the indicator sub-information, and the profile information sub-template 53 is used to prompt the user to input the profile sub-information.

Specifically, the symptom sub-information includes the relevant symptoms and signs exhibited by the user's body or psychology, such as fever, dry cough, fatigue, difficulty breathing, etc. The user can determine the symptom sub-information based on his own physical performance. The indicator sub-information includes physical indicators, which describe the physical condition of the user in a quantitative manner, such as blood pressure, body temperature, white blood cell count, hemoglobin, etc. The user can obtain the indicator sub-information through corresponding medical equipment , the indicator sub-information can also be obtained by means of a hospital physical examination or the like. The profile sub-information includes relevant information in the user's health profile, such as gender, age, place of residence, disease history, genetic history, allergy history, medication history, and the like.

In an embodiment of the present invention, the self-test template is configured to include an indicator self-test sub-template, a symptom self-test sub-template and a profile information sub-template; at this time, the self-test template can prompt the user to input corresponding indicators. Sub-information, symptom sub-information and profile sub-information, the health self-test system can generate a user's self-test report according to the symptom sub-information, the indicator sub-information and the symptom sub-information. The configuration method of this embodiment improves the information integrity of the self-test report on the one hand; on the other hand, when the user is in the process of seeing a doctor, the doctor can directly obtain the user's symptom sub-information and indicators through the self-test report The sub-information and the file sub-information realize the connection between the health self-test system and the actual doctor's diagnosis process.

Referring to FIG. 6A , in an embodiment of the present invention, the health self-assessment system further includes a correlation model 28 . The association model 28 includes various diseases and disease information; the disease information includes symptoms and signs, examination indicators and/or profile related information. Wherein, the file-related information includes past history, used products, family genetics and/or personal history, etc. The association model 28 takes diseases as the core, and associates each disease with its corresponding disease information according to an association relationship. specifically:

When the disease information is symptoms and signs, for any disease and any symptoms and signs, if the disease causes the user to have the symptoms and signs, it is considered that there is a relationship between the disease and the symptoms and signs; if the disease does not If the user has the symptoms and signs, it is considered that there is no relationship between the disease and the symptoms and signs; therefore, during the diagnosis process, if the user has the symptoms and signs, it can be considered that the user may have the disease according to the relationship. . For example, patients generally have fever symptoms when they have a cold, so there is a correlation between cold disease and fever symptoms; during the diagnosis process, when a patient has fever symptoms, it can be considered that the patient may have a cold.

When the disease information is an inspection index, for any disease and any inspection index, if the disease causes an abnormality in the inspection index, it is considered that the disease and the inspection index have an associated relationship; otherwise, the disease and the inspection index are considered to be related. There is no correlation between the indicators; therefore, during the diagnosis process, if the user's check indicator is abnormal, it can be considered that the user may have the disease according to the correlation. For example, high blood pressure will cause the patient's blood pressure value to exceed the normal range, so there is a relationship between hypertensive disease and blood pressure value indicators; during the diagnosis process, when the patient's blood pressure value indicator is too high, it can be considered that the patient may suffer from have high blood pressure.

When the disease information is file-related information, for any disease and any file-related information, if the file-related information may cause the user to have the disease, it is considered that the disease and the file-related information are related; otherwise, the disease is considered to be related. There is no association relationship with the profile-related information; therefore, during the diagnosis process, if it is found that the user has the profile-related information, it can be considered that the user may have the disease according to the association relationship. For example, a genetic history of heart disease increases the probability that a patient will have heart disease, so it can be assumed that there is a relationship between the information about the genetic history of heart disease and heart disease. During the diagnosis process, a patient is considered likely to have heart disease when the patient has information on the archives of the genetic history of heart disease.

The association relationship is defined and updated by authoritative medical personnel in related fields, or generated by artificial intelligence technology; wherein, the authoritative medical personnel are, for example, academicians and experts. As shown in FIG. 6B , it is shown as an expression form of the association model, wherein the association relationship between the disease and disease information is represented by a straight line in the figure. For example, there is a relationship between disease 1 and symptom 2, but there is no relationship between disease 1 and indicator 4. In practical applications, related diseases can be searched from the correlation model according to the user's symptoms and signs, abnormal indicators and file information, and the disease probability of a certain disease can be determined according to the correlation model, thereby completing the diagnosis of the disease.

Preferably, in the association model, the disease includes at least one subtype, the symptoms and signs include at least one attribute, and the inspection index includes at least one classification. For example, for the symptom and sign of fever, the correlation model includes attributes such as low fever and high fever; for the inspection index of body temperature, the correlation model includes 36-37°C, 37.3-38°C, 38.1-40°C and greater than 40 ℃ and other classification. The subtype refers to the combination of symptoms and signs, examination indicators, family inheritance, disease history, medication history, age and/or gender, etc., which can be used to judge the type of disease, for example: fever greater than 40°C plus white blood cell count Greater than 1000 can be used as one subtype, and fever greater than 37°C plus white blood cell count greater than 500 can be used as another subtype. This embodiment can guide users (especially users who lack medical knowledge) to provide more detailed self-health information by subdividing the diseases, symptoms and signs, and inspection indicators in the correlation model, and based on the more detailed self-health information Health Information Generate accurate health self-assessment results.

The self-test template updating module 23 includes: a related disease search unit 231, which is connected to the health information receiving module 22 and used to search for related diseases in the association model 28 according to the user's health information; self-test template update The unit 232 is connected with the related disease search unit 231 and the self-test template generating module, and is configured to acquire disease information of the related diseases according to the correlation model 28, and then update the self-test template. Wherein, the disease information includes symptoms and signs, examination indicators and/or file-related information of the related disease. The symptoms and signs correspond to the user's symptom sub-information, the inspection index corresponds to the user's index sub-information, and the profile-related information corresponds to the user's profile sub-information. For example, the user's symptom sub-information may include fever sub-information, which corresponds to the symptom and sign of fever of the disease; the user's index sub-information includes high blood pressure sub-information, which corresponds to the abnormal indicator of the disease's high blood pressure ; The file sub-information of the user includes the sub-information of the genetic history of heart disease, which corresponds to the file-related information of the genetic history of the heart disease of the disease.

In this embodiment, the related disease search unit 231 searches the correlation model 28 for related diseases according to the symptom sub-information and/or the index sub-information; The association model 28 updates the symptom self-assessment sub-template and/or the index self-assessment sub-template to prompt the user to input the health information corresponding to the related disease.

For example, when the symptom sub-information includes inspection index 3, the related diseases found by the related disease search unit 231 according to the inspection index 3 are disease 1 and disease 3, and then the self-test template updating unit 232 The association model updates the symptom sub-template to prompt the user to input Symptom 1, Symptom 2, Symptom 4, Symptom 5 and/or Symptom 6, and updates the index sub-template to prompt the user to input an inspection index 2. Check Indicator 3 and/or Check Indicator 4. Next, if the user inputs symptoms and signs 6, the related disease found by the related disease search unit 231 according to the correlation model is disease 3, and then the self-test template updating unit 232 updates the symptom sub-template to prompt the user Symptom 1 and/or Symptom 4 are input, and the index sub-template is updated to prompt the user to input inspection index 4.

In this embodiment, the related disease search unit 231 can search for related diseases according to the symptom sub-information and/or index sub-information input by the user; the self-test template updating unit 232 The test template is updated, so that the range of the symptom sub-information and/or the indicator sub-information prompted by the self-test template is narrowed to the symptoms and signs and/or inspection indicators of the related disease, so that the user has a targeted Provide symptom sub-information and/or indicator sub-information. In the application process, by repeating the above process, the user can be prompted to provide the corresponding health information gradually and in a targeted manner, so as to quickly locate the user's suspected disease.

In an embodiment of the present invention, the self-test template 5 includes a symptom self-test sub-template 51; the symptom self-test sub-template 51 includes a symptom prompt label 511; the self-test template update unit 232 is based on the association model The number and/or type of the symptom prompt label 511 is updated for the symptoms and signs of the related diseases in 28.

Specifically, in the self-test template generated by the self-test template generation module, the number and type of the symptom prompt labels 511 are determined according to the user's health file, historical self-test report, and current disease information. Wherein, the user's health file includes the user's gender, age, place of residence, disease history, genetic history, allergy history, medication history and other file sub-information, and the current disease information includes season, temperature, humidity, outbreak of infectious diseases and other external information. For example, if the user's health file shows that the user has a history of hypertension, in the self-test template generated by the self-test template generation module, the symptom prompt label 511 may include symptoms and signs related to hypertension; In a region where the current influenza is relatively severe, in the self-test template generated by the self-test template generation module, the symptom prompt label 511 may be flu-related symptoms and signs.

After the user inputs symptom sub-information and/or indicator sub-information, the self-test template updating unit updates the number of the symptom prompt labels according to the number of symptoms and signs of the related disease, and updates the number of the symptom prompt labels according to the number of symptoms and signs of the related disease. Type updates the type of the prompt label. For example, referring to FIG. 5 , when the related diseases are disease 1 and disease 2, the self-test template updating unit sets the symptom prompt label 511 to include symptoms and signs 1 to symptoms and signs according to the association model shown in FIG. 6B 5. When the related disease search unit determines that the related disease is disease 2 according to the user's symptom sub-information and/or index sub-information, please refer to FIG. Set to Sign 1, Sign 3 and Sign 4.

Further preferably, the symptom self-assessment sub-template 51 further includes a symptom input text box 513 for prompting the user to input corresponding symptom sub-information.

In this embodiment, the user is prompted to input the corresponding symptom sub-information by means of a symptom prompt label, and the user can input the corresponding symptom sub-information by clicking on the symptom prompt label. On the one hand, the standardization of the symptom sub-information can be ensured. On the other hand, it can simplify the user's input process and improve the user experience.

In an embodiment of the present invention, the self-assessment template 5 further includes an index self-assessment sub-template 52; the index self-assessment sub-template 52 includes an index prompt label 521; the self-assessment template updating unit is based on the association model. The number and/or type of the indicator prompt label 521 is updated for the inspection indicators of related diseases in 28.

Specifically, the self-test template generated by the self-test template generation module may not include the indicator prompt label 521, or the indicator prompt label 521 may be determined according to the user's health file, historical self-test report, and current disease information, etc. quantity and/or type.

After the user inputs the symptom sub-information and/or the indicator sub-information, the self-test template updating unit updates the number of the indicator prompt labels according to the number of the inspection indicators of the related disease, and according to the number of the inspection indicators of the related disease Type updates the type of the prompt label. For example, referring to FIG. 5 , when the related diseases are disease 1 and disease 2, the self-assessment template updating unit sets the indicator prompt label 521 to include inspection indicator 1 to inspection indicator according to the association model shown in FIG. 6B 3; when the related disease search unit determines that the related disease is disease 1 according to the user's symptom sub-information and/or index sub-information, please refer to FIG. Set to check indicator 3.

Further preferably, the indicator self-assessment sub-template 52 further includes an indicator input text box 523 for prompting the user to input corresponding indicator sub-information.

In this embodiment, the user is prompted to input the corresponding inspection index by means of an index prompt label, and the index prompt label allows the user to input the corresponding inspection index by clicking. On the one hand, the standardization of the index sub-information can be ensured, and the other hand. On the one hand, it can simplify the user's input process and improve the user experience.

In an embodiment of the present invention, the self-test template 5 further includes a profile information sub-template 53; the profile information sub-template 53 includes a profile prompt label; The relevant information updates the number and/or type of the profile reminder tags. Wherein, the profile sub-information is determined by the user's health profile, which includes but is not limited to the user's gender, age, place of residence, disease history, genetic history, allergy history, medication history, etc.; the profile prompt label includes the first profile Sub-information tab 531 , second dossier sub-information tab 532 and/or dossier input text box 533 .

When at least one item of the profile sub-information exists in the user's health file, the self-test template generation module reads all the user's profile sub-information from the user's health profile and adds it to the profile information sub-template 53 , the first file sub-information tag 531 shown in FIG. 5 is formed, and the first file sub-information tag 531 cannot be edited. In addition, the profile information sub-template 53 may further include a second profile sub-information label 532 and a profile input text box 533 for prompting the user to input other profile sub-information. The second profile sub-information label 532 allows the user to input corresponding profile sub-information by clicking, and the profile input text box 533 allows the user to input corresponding profile sub-information by text.

When the user does not have a health profile, or the profile sub-information does not exist in the user's health profile, the profile information sub-template 53 only includes the second profile sub-information label 532 and/or profile input text box 533 for prompting the user Enter profile sub-information.

In this embodiment, the self-assessment template updating unit 232 updates the number and/or type of the file prompt labels according to the file-related information of the related disease. For example, referring to FIG. 5 , when the related diseases are disease 1 and disease 2 , the profile information sub-template 53 includes profile information 1 and profile information 3 . When the related disease search unit determines that the related disease is disease 1 according to the user's symptom sub-information and/or index sub-information, please refer to FIG. The profile information sub-template is updated to profile information 3 associated with disease 1.

In an embodiment of the present invention, the self-test template updating module further includes: an association model updating unit, connected to the health information receiving module, for updating the association model according to the user's health information. For example, when the user has a symptom, sign or inspection index that is not included in the association model, and the symptom, sign or inspection index has been confirmed by authoritative medical personnel, the association model updating unit will update the association model. Symptoms and signs or inspection indicators are added to the correlation model to update the correlation model. When the user is diagnosed with a disease that is not included in the association model, and the disease and its symptoms, signs and examination indicators have been confirmed by authoritative medical personnel, the association model updating unit adds the disease not included in the association model to In the association model; and, the association model updating unit connects the diseases not included in the association model with the symptoms and signs and the inspection indicators in the association model, and/or the diseases not included in the association model. and their symptoms, signs and examination indicators are added to the association model.

In this embodiment, the association model updating unit can update the association model according to the user's disease, symptoms and signs and/or inspection index information, so that the association model can be continuously improved in practical applications to ensure the The accuracy and completeness of the correlation model is conducive to improving the accuracy of the health self-assessment.

In an embodiment of the present invention, the health information receiving module is further configured to receive the user's health information obtained by the health collecting device. The health collection device can be a wearable device of the user, including watches supported by the wrist (including products such as watches and wristbands), shoes supported by the feet (including shoes, socks or other future wear on legs). products), Glass classes supported by the head (including glasses, helmets, headbands, etc.). The health collection device may also be a user's medical measurement device, such as a thermometer, a sphygmomanometer, a body fat scale, and the like. The health collection equipment may also be a medical examination equipment or related inspection equipment of a hospital or a medical examination institution, such as an X-ray machine, a CT machine, an electrocardiograph, and the like.

In this embodiment, the objectivity of the user's health information is ensured by configuring the health information receiving module to be able to receive the user's health information obtained by the corresponding health collection device. In addition, through wearable devices such as watches and bracelets, the health information receiving module can achieve 24-hour uninterrupted acquisition of the user's health information, ensuring the comprehensiveness of the health information.

In an embodiment of the present invention, the health information receiving module further includes: a detection report receiving unit, used to obtain a detection report uploaded by a user; a detection report identification unit, connected to the detection report receiving unit, used for Identify the test report to obtain the corresponding health information. Wherein, the test report refers to a report obtained by a user through a hospital or a medical examination institution, such as a blood test report, a urine test report, and the like. The detection report recognition unit can extract the relevant information in the detection report through OCR (Optical Character Recognition, Optical Character Recognition) and other technologies, and then supplement the relevant information to the user's health information, so that the health information more comprehensive. Preferably, the self-test template includes a test report upload label, which is used to prompt the user to upload the test report.

In an embodiment of the present invention, the health information receiving module further includes: a medical image receiving unit, used to obtain the medical image of the user; a medical image recognition unit, connected to the medical image receiving unit, used for Medical images are identified to obtain corresponding health information. Wherein, the medical images are, for example, CT images, nuclear magnetic resonance images, and the like. The image recognition unit can use artificial intelligence and image recognition technology to process the medical image and extract the user information therein, and then supplement the user information to the user's health information. Using artificial intelligence and image recognition technology to process the medical image and extract information can be achieved through the existing technology, which will not be repeated here. Preferably, the self-test template includes a medical image upload label, which is used to prompt the user to upload the medical image.

In practical applications, users generally have less medical knowledge, and the health information provided during the initial self-test is often not comprehensive enough, so that the initial self-test report may include a variety of suspected diseases. In response to this problem, in an embodiment of the present invention, the self-test report includes the category of the suspected disease, related symptoms and signs, and inspection indicators; the user can perform two times detection. For example, in the initial self-test, if the user's suspected disease is upper respiratory tract infection or subdiaphragmatic infection, the initial self-test report also includes relevant symptoms, signs and examination indicators of upper respiratory tract infection, and related symptoms of subdiaphragmatic infection Signs and examination indicators. Based on this, users can detect the corresponding inspection indicators of upper respiratory tract infection and subdiaphragmatic infection, and/or confirm the corresponding symptoms and signs, so as to provide comprehensive and more targeted health information in the secondary test.

In an embodiment of the present invention, the self-test report further includes the user's suspected diseases and the prevalence probability of each suspected disease. Specifically, referring to FIG. 8A , the method for calculating the prevalence probability of any suspected disease i by the self-test report generation module includes:

S11: Acquire the diagnostic criteria C _i of the suspected disease i, and determine all relevant sub-information of the suspected disease i according to the diagnostic criteria C _i . Wherein, the definition of the diagnostic criteria C _i is: a set composed of all sub-information related to the suspected disease i. The sub-information related to the suspected disease i does not necessarily belong to the user's health information, and the categories of the sub-information include symptom sub-information, index sub-information and/or profile sub-information. The diagnostic criteria for each suspected disease are defined by authoritative medical personnel in related fields. If a user's health information includes all relevant sub-information of the diagnostic criteria C _i , the probability of the user suffering from the suspected disease i can be considered as 100%.

S12: Acquire a sub-information collection D in the user's health information, where the sub-information collection D is a collection composed of all sub-information in the user's health information.

S13: Obtain the intersection Q of the diagnostic criteria C _i and the sub-information set D, and calculate the prevalence probability P _i of the suspected disease i according to the sub-information in the intersection Q. specifically,

represents the sum of the weights of all sub-information contained in the intersection Q; wherein, W _j represents the weight of the sub-information j, and

Wherein, M is a positive integer, representing the number of related sub-information in the diagnostic criteria C _i , and j≤M; N _m represents the number of diseases associated with sub-information m, and N _j represents the number of diseases associated with sub-information j.

Next, on the basis of the association model 28, a specific example will be used to introduce the above-mentioned calculation process of the disease probability. According to the correlation model 28, the diagnostic criterion C1 of disease ₁ includes: symptom sub-information 1, symptom sub-information 2 and symptom sub-information 5 corresponding to symptom 1, symptom 2 and symptom 5 respectively; Index sub-information 1, index sub-information 2, and index sub-information 3 corresponding to index 2 and index 3; file sub-information 3 corresponding to file information 3. At this time, M=7.

According to the association model 28, the number of diseases associated with symptom sub-information 1 (named as sub-information 1) is N ₁ =3, the number of diseases associated with symptom sub-information 2 (named as sub-information 2) is N ₂ =1, The number of diseases associated with the symptom sub-information 5 (named as sub-information 3) is N ₃ =1, the number of diseases associated with the index sub-information 1 (named as sub-information 4) is N ₄ =2, and the index sub-information 2 (named as Sub-information 5) associated disease number N ₅ =1, index sub-information 3 (named as sub-information 6) associated disease number N ₆ =3, profile sub-information 3 (named as sub-information 7) associated diseases The number N ₇ =2.

If the sub-information collection D in the user's health information includes: symptom sub-information 1, symptom sub-information 2, symptom sub-information 6, and indicator sub-information 3. At this time, the intersection Q of the diagnostic criteria C _i and the sub-information set D includes: symptom sub-information 1 (sub-information 1), symptom sub-information 2 (sub-information 2), and index sub-information 3 (sub-information 6) . For Q, it contains sub-information 1, sub-information 2 and sub-information 3, and:

The weight of sub-information 1 is:

The weight of sub-information 2 is:

The weight of sub-information 6 is:

Therefore, the probability that the user suffers from disease 1 is P ₁ =W ₁ +W ₂ +W ₃ =35.6%.

In addition, in this embodiment, for the health information of the same user, the disease probability of multiple diseases can be obtained in the manner described in S11 to S13, and the disease with the highest disease probability is selected as the most likely disease for the user. disease.

In an embodiment of the present invention, the self-test report includes the user's suspected diseases and the prevalence probability of each suspected disease. Please refer to FIG. 8B , in this embodiment, the calculation method of the probability of each suspected disease includes:

S21: Acquire training samples, and use the training samples to train a neural network model to obtain an AI diagnostic model; preferably, the training samples include diagnostic criteria and actual diagnostic cases defined by authoritative medical personnel.

S22: Acquire sub-information included in the user's health information, and use the AI diagnosis model to process the sub-information to obtain the prevalence probability of each suspected disease.

Referring to FIG. 9, in an embodiment of the present invention, the health self-test system further includes: a disease risk early warning module 25, which is connected to the self-test report generation module 24, and is used for judging the user according to the self-test report. and the user and/or the family doctor will be warned according to the disease risk degree. Specifically, the disease risk early warning module 25 can determine the risk level of the suspected disease according to the probability of disease, the degree of harm and the degree of contagion of the suspected disease in the self-assessment report. When the user is in a high-risk state or a high-infectivity state , to warn users and/or family doctors through voice, text messages, etc.

In an embodiment of the present invention, the self-test report generating module is further configured to update the user's health profile according to the user's self-test report.

Referring to FIG. 9 , in an embodiment of the present invention, the health self-test system 2 further includes a storage module 26 . The storage module 26 is respectively connected with the self-test template generation module 21, the health information receiving module 22, the self-test template update module 23 and the self-test report generation module 24, and is used to store the user's historical self-test. test report, user's health information, association model, user's health profile and/or medical standard vocabulary.

The storage module may be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. Wherein, the non-volatile memory may be a read-only memory (Read-Only Memory, ROM), a programmable read-only memory (Programmable ROM, PROM), an erasable programmable read-only memory (Erasable PROM, EPROM), an electrically programmable read-only memory (Erasable PROM, EPROM). Erase programmable read-only memory (Electrically EPROM, EEPROM) or flash memory. Volatile memory may be Random Access Memory (RAM), which acts as an external cache. It should be noted that the memory modules described herein are intended to include, but not be limited to, the memory described above and any other suitable type of memory.

In an embodiment of the present invention, the health self-test system further includes an auxiliary information input module. The auxiliary information input module is used for acquiring the text information input by the user, and determining the relevant health information standard words according to the text information, and then sending the health information standard words to the user to prompt the user to input. For example, when the text information input by the user is "hot", the auxiliary information input module obtains the text information and searches for all symptom sub-information, index sub-information and files related to "hot" from a medical standard vocabulary database sub-information, and the related symptom sub-information, index sub-information and profile sub-information are sent to the user as health information standard words to assist the user in completing the input of the corresponding health information. Wherein, the medical standard word database is stored in the storage module 26 and is established and maintained by authoritative medical personnel, which includes commonly used symptom sub-information standard words, index sub-information standard words and archives sub-information standard words, and Corresponding to the symptoms and signs, inspection indicators and related file information in the correlation model respectively. The user can select and input corresponding health information according to the received health information standard words.

In this embodiment, the auxiliary information input module can display the corresponding health information standard words for the user, which is convenient for the user to input the health information, and realizes the standardization of the health information input by the user.

In an embodiment of the present invention, the health self-testing system 2 includes:

The self-test template generating module 21 is used to generate an initial self-test template according to the user's health records, historical self-test reports, seasons, epidemic outbreaks and other information. Preferably, the initial self-test template is a user's personalized self-test template. As shown in FIG. 5 , the initial self-test template includes a symptom self-test sub-template 51, an indicator self-test sub-template 52 and a profile information sub-template 53, which are used to prompt the user to input corresponding symptom sub-information, indicator sub-information and profile sub-template information. The symptom self-assessment sub-template 51 includes at least one symptom prompt label 511 and a symptom input text box 513. The user can input corresponding symptom sub-information by clicking on the symptom prompt label 511, or enter the symptom input text box in the symptom input text box. 513, enter the corresponding symptom sub-information; the index self-assessment sub-template 52 includes an index input text box 523, and the user can input the corresponding index sub-information in the index input text box 523; the profile information sub-template 53 includes The first profile sub-information label 531 and the profile input text box 533, wherein the first profile sub-information label 531 is not editable, the profile input text box allows the user to directly input the corresponding profile sub-information.

The health information receiving module 22 is used to obtain the user's health information and store the health information in the storage module 26; the source of the health information includes the health information input by the user, the user's health information collected by the health collection device, the user's health information, and the user's health information. health information contained in the user's health record, the user's test report, and/or the user's medical image; the categories of the health information include symptom sub-information, indicator sub-information, profile sub-information and/or or medical standard vocabulary.

The self-test template updating module 23 is connected to the self-test template generating module 21 and the health information receiving module 22, and is used to update the data according to the symptom sub-information, index sub-information and/or profile sub-information in the storage module 26. Find related diseases in a correlation model, obtain the symptoms, signs and inspection indicators of the related diseases, and then update the self-test template, so that in the updated self-test template: the symptom prompt label 511 includes the Symptoms and signs of related diseases, the indicator prompt label 521 includes the inspection indicators of the related diseases, and the second profile sub-information tag 532 includes the related file information of the related diseases.

The self-test report generating module 24 is connected to the health information receiving module 22, and is configured to generate a user's self-test report according to the user's health information. The self-assessment report includes the user's suspected disease and related symptoms and signs, inspection indicators, risk level and/or disease probability of the suspected disease.

The disease risk early warning module 25 is connected to the self-test report generation module 24, and is used to warn the user and/or the family doctor according to the risk degree of the suspected disease.

The storage module 26 is respectively connected with the self-test template generation module 21, the health information receiving module 22, the self-test template update module 23 and the self-test report generation module 24, and is used for storing historical self-test reports, User health information, association models, and health profiles. Wherein, the association model includes at least one disease and its corresponding symptoms and signs and inspection indexes; and the disease includes at least one subtype, the symptoms and signs include at least one attribute, and the inspection index includes at least one classification .

The auxiliary information input module 27, connected with the storage module 26, is used to obtain the text information input by the user, and according to the text information, determine the relevant health information standard words from the medical standard word library, and then put the relevant health information The health information standard word is sent to the user to prompt the user for input.

After the self-test template updating module 23 updates the template, the user can continue to input corresponding symptom sub-information, index sub-information and/or profile sub-information according to the updated self-test template. The template update module 23 updates the updated self-test template again according to the symptom sub-information, indicator sub-information and/or profile sub-information input by the user; the user can also choose to use the symptom sub-information, indicator sub-information already inputted and/or profile sub-information to generate a corresponding self-test report.

In addition, in this embodiment, the self-test template updating module 23 is further configured to update the correlation model, and the self-test report generating module is further configured to update the user's health file.

Based on the above description of the health self-test system, the present invention also provides a health self-test server. The health self-test server includes the health self-test system of the present invention. The health self-test server is a high-performance computer, including structures such as a processor, a hard disk, a memory, and a database, and is used to provide users with health self-test related services with high stability, high reliability, and high security. The health self-test server described in the present invention includes, but is not limited to, a file server, a database server, an application server, a WEB server, a local server, a cloud server, and the like.

Referring to FIG. 10 , based on the above description of the health self-test system, the present invention further provides a health check system 100 . In an embodiment of the present invention, the health detection system 100 includes:

The user self-test terminal 110 is used to display an initial self-test template or an updated self-test template, and to acquire and send the user's health information; the user's health information is determined by the user according to the initial self-test template or the updated self-test template. The self-test template is filled in and generated;

The health self-test server 120 includes the health self-test system of the present invention; the health self-test server 120 is connected to the user self-test terminal 110 in communication, and is used for generating the initial self-test template and the updated self-test template. The updated self-test template is obtained by updating the initial self-test template by the health self-test server 120 according to the user's health information, or obtained by re-updating the updated self-test template by the health self-test server 120 according to the user's health information;

The doctor's diagnosis terminal 130 is connected in communication with the health self-test server 120, and is used for obtaining the user's self-test report.

The health self-test system of the present invention generates a self-test template through the self-test template generation module to prompt the user to input health information; and the self-test template update module can update the self-test template according to the health information that the user has input. , thereby prompting the user to enter more health information. Therefore, the health self-test system of the present invention does not require the user to select the target disease to be tested according to his own situation, and the user only needs to input the corresponding health information according to the prompt of the self-test template. Therefore, the health self-test system of the present invention It can solve the technical problem that "in the existing solution, the user needs to select the target disease to be tested according to their own situation", which is beneficial to the user to quickly and conveniently realize the health self-test.

In the health self-test system of the present invention, the health information can be obtained through various methods such as user input, device collection, health file reading, test report recognition, and medical image recognition, which ensures the objectivity and integrity of the information. It is beneficial to improve the accuracy of self-test results.

To sum up, the present invention effectively overcomes various shortcomings in the prior art and has high industrial utilization value.

The above-mentioned embodiments merely illustrate the principles and effects of the present invention, but are not intended to limit the present invention. Anyone skilled in the art can modify or change the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or changes made by those with ordinary knowledge in the technical field without departing from the spirit and technical idea disclosed in the present invention should still be covered by the claims of the present invention.

Claims

A health self-assessment system, characterized in that the health self-assessment system includes:

The self-test template generation module is used to generate a self-test template; the self-test template is used to prompt the user to input health information;

a health information receiving module for receiving the health information input by the user;

The self-test template updating module is connected to the self-test template generating module and the health information receiving module, and is used for updating the self-test template according to the user's health information; the updated self-test template is used for prompting The user continues to enter health information;

A self-test report generating module is connected to the health information receiving module, and is configured to generate a user's self-test report according to the user's health information.
The health self-test system according to claim 1, wherein the self-test template generation module generates a user's personalized self-test template according to the user's health file and/or historical self-test report.
The health self-assessment system according to claim 1, wherein the self-assessment template comprises a symptom self-assessment sub-template, an index self-assessment sub-template and/or a profile information sub-template; wherein, the symptom self-assessment sub-template uses In order to prompt the user to input symptom sub-information, the indicator self-test sub-template is used to prompt the user to input the indicator sub-information, and the profile information sub-template is used to prompt the user to input the profile sub-information; the health information includes symptom sub-information, indicator sub-template information and/or profile sub-information.
The health self-test system according to claim 1, wherein the self-test template update module comprises:

a related disease search unit, connected to the health information receiving module, for searching related diseases in an association model according to the user's health information;

The self-test template updating unit is connected with the related disease search unit and the self-test template generation module, and is used for obtaining the disease information of the related diseases according to the correlation model, and then updating the self-test template; The disease information includes symptoms and signs, examination indicators and/or file-related information.
The health self-test system according to claim 4, wherein: the self-test template comprises a symptom self-test sub-template; the symptom self-test sub-template comprises a symptom prompt label; the self-test template updating unit The disease information of the disease updates the number and/or type of the symptom prompt labels.
The health self-test system according to claim 4, wherein: the self-test template comprises an indicator self-test sub-template; the indicator self-test sub-template comprises an indicator prompt label; the self-test template updating unit The disease information of the disease updates the number and/or type of the indicator prompt label.
The health self-assessment system according to claim 4, wherein: the self-assessment template includes a file information sub-template; the file information sub-template includes a file prompt label; the self-test template updating unit The disease information updates the number and/or type of the dossier prompt labels.
The health self-test system according to claim 4, wherein the self-test template update module further comprises:

An association model updating unit, connected to the health information receiving module, is configured to update the association model according to the user's health information.
The health self-assessment system according to claim 4, wherein: the correlation model includes at least one disease and its corresponding symptoms and signs and examination indicators; wherein, the disease includes at least one subtype, and the symptoms and signs At least one attribute is included, and the inspection index includes at least one classification.
The health self-test system according to claim 1, wherein the self-test template generation module is further configured to read profile sub-information from the user's health profile.
The health self-testing system according to claim 1, wherein the health information receiving module is further configured to receive the user's health information obtained by the health collection device.
The health self-test system according to claim 1, wherein the health information receiving module further comprises:

a detection report receiving unit, used to obtain a user's detection report;

The detection report identification unit is connected to the detection report receiving unit, and is used for identifying the detection report to obtain the health information of the user.
The health self-test system according to claim 1, wherein the health information receiving module further comprises:

a medical image receiving unit, used to acquire the medical image of the user;

The medical image recognition unit is connected with the medical image receiving unit, and is used for recognizing the medical image to obtain the health information of the user.
The health self-assessment system according to claim 1, characterized in that: the self-assessment report includes categories of suspected diseases, symptoms and signs, and inspection indicators; a user can conduct secondary tests according to the categories, symptoms and signs, and inspection indicators of suspected diseases. detection.
The health self-assessment system according to claim 1, wherein the self-assessment report includes the user's suspected diseases and the prevalence probability of each suspected disease.
The health self-test system according to claim 1, wherein the health self-test system further comprises:

A disease risk early warning module, connected to the self-test report generation module, is used for judging the user's disease risk degree according to the self-test report, and giving early warning to the user and/or the family doctor according to the disease risk degree.
The health self-test system according to claim 1, wherein the self-test report generating module is further configured to update the user's health file according to the user's self-test report.
The health self-test system according to claim 1, wherein the health self-test system further comprises:

The storage module is respectively connected with the self-test template generation module, the health information receiving module, the self-test template update module and the self-test report generation module, and is used for storing historical self-test reports, user health information, Association models, health records, and/or medical standard vocabulary.
The health self-test system according to claim 1, wherein the health self-test system further comprises:

The auxiliary information input module is used for acquiring the text information input by the user, and determining the relevant health information standard words according to the text information, and then sending the health information standard words to the user to prompt the user to input.
A health self-test server, characterized in that the health self-test server comprises the health self-test system of any one of claims 1 to 19.
A health detection system, characterized in that the health detection system includes:

User self-test terminal, used to display an initial self-test template or updated self-test template, and used to obtain and send the user's health information; the health information is determined by the user according to the initial self-test template or the updated self-test template Fill in the template to generate;

A health self-test server, including the health self-test system according to any one of claims 1 to 19; the health self-test server is connected to the user self-test terminal in communication, for generating the initial self-test template and the update The updated self-test template, and the user's self-test report is generated according to the user's health information; the updated self-test template is updated by the health self-test server according to the user's health information. The initial self-test template Obtained, or obtained by the health self-test server updating the updated self-test template according to the user's health information;

The doctor's diagnosis terminal is connected to the health self-test server in communication, and is used for acquiring the user's self-test report.