WO2022141923A1

WO2022141923A1 - Intelligent medical brain model establishment system and method, and service system and medium

Info

Publication number: WO2022141923A1
Application number: PCT/CN2021/085945
Authority: WO
Inventors: 姚娟娟; 钟南山; 樊代明
Original assignee: 上海明品医学数据科技有限公司
Priority date: 2020-12-31
Filing date: 2021-04-08
Publication date: 2022-07-07
Also published as: CN113160964A

Abstract

An intelligent medical brain model establishment system (100), an intelligent medical brain model establishment method, a service system and a medium. The intelligent medical brain model establishment system (100) comprises: a neuron model setting module (110), which is used for setting the type and an attribute of a neuron model, wherein the type of the neuron model comprises a disease type neuron model and a disease evaluation factor type neuron model; a neuron model generation module (120), which is connected to the neuron model setting module (110), and is used for generating a corresponding neuron model according to the type and the attribute of the neuron model; a disease response standard setting module (130), which is used for setting each piece of disease response standard information; and a neuron model association module (140), which is connected to the neuron model generation module (120) and the disease response standard setting module (130), and is used for establishing an association relationship between each disease type neuron model and each disease evaluation factor type neuron model according to each piece of disease response standard information. The system can assist a doctor in completing initial diagnosis and treatment work, thereby relieving the load of frontline medical workers.

Description

An intelligent medical brain model building system, method, service system and medium

technical field

The invention belongs to the field of medical and health data processing, and relates to a system method, service system and medium for establishing an intelligent medical brain model.

Background technique

[Corrected 18.09.2021 in accordance with Rule 9.2]
With the progress of society, the medical and health industry is being paid more and more attention by more and more people. From a global perspective, the medical and health industry is in a stage of rapid development. With the continuous improvement of my country's economic level, the general public's emphasis on medical health is also increasing, and China's medical and health industry has begun to enter a period of rapid development.

Due to the particularity of medical and health care and the complexity of the system, compared with other fields, the Internet-based process in the field of medical and health care is still at a relatively early stage. However, in terms of policy, social and technological environment, Internet medical care has already met certain conditions for development.

The present application is devoted to providing an intelligent medical brain model to assist doctors in completing relevant diagnosis and treatment work, so that a complete set of medical and health service systems can be subsequently constructed based on the intelligent medical brain model.

SUMMARY OF THE INVENTION

The purpose of the present invention is to provide an intelligent medical brain model building system method, service system and medium, which are used to assist doctors in completing initial diagnosis and treatment work and relieve the load of front-line medical workers.

In order to solve the above-mentioned technical problems, the present invention is achieved through the following technical solutions:

The present invention provides an intelligent medical brain model establishment system. The intelligent medical brain model establishment system includes: a neuron model setting module for setting the types and attributes of neuron models; the types of neuron models include disease neuron Metamodel and disease evaluation factor neuron model; a neuron model generation module, connected with the neuron model setting module, for generating a corresponding neuron model according to the type and attribute of the neuron model; disease response standard setting The module is used to set the standard information of each disease response; the neuron model association module is respectively connected with the neuron model generation module and the disease response standard setting module, and establishes each disease type neuron according to the disease response standard information The relationship between the model and the neuron model of each disease evaluation factor.

In an embodiment of the present invention, the neuron model association module includes: a first association unit that initially customizes each disease neuron model and each disease evaluation factor neuron model according to preset disease response standard information. or/and the second association unit, update and establish the association relationship W _j of each disease neuron model and each disease evaluation factor neuron model according to the preset disease response standard information;

Wherein, W _j represents the correlation coefficient between the disease evaluation factor data j in the disease factor set and the corresponding disease type data; M is a positive integer, representing the number of disease evaluation factor data in the disease factor set, N _m represents the The number of disease type data associated with disease evaluation factor data m, N _j represents the number of disease type data associated with disease evaluation factor data j, and j≤M.

In an embodiment of the present invention, the intelligent medical brain model establishment system further includes: a disease response standard update module, which is connected in communication with the disease response standard setting module, and is used for adding, deleting or/and updating each disease response. Standard information.

In an embodiment of the present invention, the neuron model association module further includes: a third association unit, which updates and adjusts the neuron models of each disease type and the evaluation of each disease according to the added, deleted or/or updated disease response standard information. The relationship W _j between the factor class neuron models.

In an embodiment of the present invention, the neuron model generating module includes: a neuron model input generating unit, which generates a corresponding neuron model input function according to the type and attribute of the neuron model; a neuron model processing and generating unit; , generating the processing function of the corresponding neuron model according to the type and attribute of the neuron model; the neuron model output generating unit generates the corresponding neuron model output function according to the type and attribute of the neuron model.

In an embodiment of the present invention, when the neuron model generating module generates the disease neuron model, the neuron model input generating unit generates the corresponding disease neuron according to the attributes of the disease neuron model. Metamodel input function; the attributes of the disease neuron model include the major category of the disease, the name of the disease, the subcategory of the disease, and disease-related information; the neuron model processing and generating unit The attribute generates a processing function of the corresponding disease neuron model; the neuron model output generating unit generates a corresponding disease neuron model output function according to the attribute of the disease neuron model.

In an embodiment of the present invention, when the neuron model generation module generates the disease evaluation factor neuron model, the neuron model input generation unit generates a corresponding neuron model according to the attributes of the disease evaluation factor neuron model. The input function of the disease evaluation factor neuron model; the attributes of the disease evaluation factor neuron model include the category of the disease evaluation factor, the name of the disease evaluation factor, the level of the disease evaluation factor and the related information of the disease evaluation factor; The neuron model processing and generating unit generates a processing function of the corresponding disease evaluation factor neuron model according to the attributes of the disease evaluation factor neuron model; the neuron model output generating unit generates the disease evaluation factor neuron model according to the disease evaluation factor neuron model. The attributes of the corresponding disease evaluation factor class neuron model output function.

In an embodiment of the present invention, the intelligent medical brain model building system further includes: an information acquisition module, which is connected in communication with the disease evaluation factor class neuron model, and collects a disease evaluation factor data set and inputs the disease evaluation factor class. a neuron model; a disease acquisition module, connected to the disease neuron model in communication, and collects the output results of the disease neuron model; an analysis and processing module, separate from the disease acquisition module and the disease response standard setting module are connected, and a comparative analysis is performed according to the output result of the disease neuron model and the expected result, and a relevant instruction on whether the corresponding disease response standard information needs to be corrected is output.

The present invention also provides a method for establishing an intelligent medical brain model, comprising: setting the type and attribute of the neuron model; the types of the neuron model include a disease neuron model and a disease evaluation factor neuron model; The types and attributes of the meta-model generate corresponding neuron models; set each disease response standard information; establish the association relationship between each disease neuron model and each disease evaluation factor neuron model according to the disease response standard information.

In an embodiment of the present invention, an implementation process of establishing the association relationship between each disease neuron model and each disease evaluation factor neuron model according to the disease response standard information includes: according to a preset disease The association relationship between each disease neuron model and each disease evaluation factor neuron model is initially customized according to the standard information; or/and updated according to the preset disease response standard information to establish each disease neuron model and each disease Evaluate the relationship W _j of the factor class neuron model;

In an embodiment of the present invention, the method for establishing an intelligent medical brain model further includes: adding, deleting or/and updating standard information for each disease.

In an embodiment of the present invention, an implementation process of establishing the association relationship between each disease neuron model and each disease evaluation factor neuron model according to the disease response standard information further includes: according to adding, deleting The reduced or/and updated disease response standard information is updated to adjust the association relationship W _j between each disease neuron model and each disease evaluation factor neuron model.

In an embodiment of the present invention, an implementation process of generating a corresponding neuron model according to the type and attribute of the neuron model includes: generating a corresponding neuron model input function according to the type and attribute of the neuron model. ; Generate the processing function of the corresponding neuron model according to the type and attribute of the neuron model; generate the corresponding neuron model output function according to the type and attribute of the neuron model.

In an embodiment of the present invention, an implementation process of generating a corresponding neuron model according to the type and attribute of the neuron model includes: when the generation module generates the disease neuron model, according to the disease neuron model. The attributes of the meta-model generate the corresponding input function of the disease-like neuron model; the attributes of the disease-like neuron model include the major category of the disease, the name of the disease, the sub-category of the disease, and disease-related information; according to the disease-like neuron The attribute of the model generates the processing function of the corresponding disease neuron model; the corresponding disease neuron model output function is generated according to the attribute of the disease neuron model.

In an embodiment of the present invention, an implementation process of generating a corresponding neuron model according to the type and attribute of the neuron model includes: when generating the disease evaluation factor neuron model, according to the disease evaluation factor The attribute of the neuron-like model generates the corresponding input function of the disease evaluation factor neuron-like model; the attributes of the disease evaluation factor neuron-like model include the category of the disease evaluation factor, the name of the disease evaluation factor, the level of the disease evaluation factor and the disease Relevant information of the evaluation factor; generate the processing function of the corresponding disease evaluation factor neuron model according to the attributes of the disease evaluation factor neuron model; generate the corresponding disease evaluation factor according to the attributes of the disease evaluation factor neuron model Neuron-like model output function.

In an embodiment of the present invention, the method for establishing an intelligent medical brain model further includes: collecting a disease evaluation factor data set and inputting the disease evaluation factor neuron model; collecting the output results of the disease neuron model; The output result of the disease neuron model is compared and analyzed with the expected result, and the relevant instruction of whether the corresponding disease response standard information needs to be corrected is output.

The present invention also provides a service system, including the intelligent medical brain model establishment system.

The present invention also provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the method for establishing an intelligent medical brain model is implemented. As mentioned above, the intelligent medical brain model establishment system, method, service system and medium of the present invention have the following beneficial effects: the intelligent medical brain model can be automatically configured according to the medical information related to the disease input by medical experts, The intelligent medical diagnosis and treatment model of each disease is generated, and the intelligent medical diagnosis and treatment model of each disease continuously establishes or/and updates the association relationship of medical information related to each disease during the operation process, and gradually forms a comprehensive medical knowledge map for subsequent medical teaching and research. have great guiding significance.

Description of drawings

In order to illustrate the technical solutions of the embodiments of the present invention more clearly, the following briefly introduces the accompanying drawings used in the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained from these drawings without any creative effort.

1 is a schematic diagram of an exemplary implementation structure of the intelligent medical brain model building system according to the present invention;

2 is a schematic diagram of an exemplary implementation structure of the neuron model association module according to the present invention;

3 is a schematic diagram of an exemplary implementation structure of the intelligent medical brain model building system according to the present invention;

4 is a schematic diagram of an exemplary implementation structure of the neuron model generation module according to the present invention;

5 is a schematic diagram of an exemplary implementation structure of the intelligent medical brain model building system according to the present invention;

6 is a schematic diagram of an exemplary implementation flow of the method for establishing an intelligent medical brain model according to the present invention;

FIG. 7 is an exemplary schematic diagram of the relationship between each disease neuron model and each disease evaluation factor neuron model according to the present invention.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

In the description of this specification, description with reference to the terms "one embodiment," "example," "specific example," etc. means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one aspect of the present invention. in one embodiment or example. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

The intelligent medical brain model generated by the intelligent medical brain model establishment system of the present invention can cover all disciplines, including clinical (western medicine + traditional Chinese medicine), health management, medical technology, nursing, pharmacy, popular science, etc. Experts cooperate to establish the underlying structure, which is more authoritative.

The intelligent medical brain model of the present invention performs intelligent matching and identification according to various aspects of symptoms, or/and indicators of patients, etc., so as to determine the possibility probability of suffering from a certain disease, and at the same time, relevant identification information and result data can also be sent to At the expert office, experts will analyze it. If there is new data in the disease, the new data will be added to the medical atlas database to form a further enrichment of the system. So far, the intelligent medical brain model of the present invention has included more than 3,000 model of a common disease.

The intelligent medical brain model generated by the present invention can form a medical knowledge map database covering most common diseases based on the results of statistical analysis of big data, combined with the clinical experience of top medical experts and academicians in the industry.

Patients can conduct health self-assessment through the intelligent medical brain model generated by the present invention, which can not only save people's medical costs, but also alleviate the problem of shortage of medical resources, meet the urgent requirements of patients for medical diagnosis to the greatest extent, and improve people's medical treatment costs. quality of life.

The doctor can pre-diagnose the patient through the intelligent medical brain model generated by the present invention, assist the doctor to carry out the comprehensive diagnosis and treatment in the early stage, and then give the doctor his own professional diagnosis, which can avoid the specialist doctor from ignoring other aspects due to the different expertise of medical knowledge. It can also help specialists to accurately complete professional diagnosis and avoid misdiagnosis.

Of course, it is not necessary for any product embodying the present invention to achieve all of the above-described advantages simultaneously.

Referring to FIG. 1 , an embodiment of the present invention provides an intelligent medical brain model building system. The intelligent medical brain model building system 100 includes: a neuron model setting module 110 , a neuron model generating module 120 , and a disease coping standard setting module 130 , a neuron model association module 140 .

The neuron model setting module 110 is used to set the type and attribute of the neuron model; the types of the neuron model include a disease neuron model and a disease evaluation factor neuron model.

The attributes of the disease evaluation factor neuron model include the types and attributes of the disease evaluation factors. For example: the types of disease evaluation factors include symptoms (such as fever, cough and other signs), indicators (such as height, weight, body temperature, blood routine, blood pressure, blood lipids, heart rate and other detection indicators), family genetic history, medication history, disease history Wait. Specifically, for example, for the symptom of fever, it includes attributes such as low-grade fever and high fever; for the indicator of body temperature, it includes classification attributes such as 36-37°C, 37.3-38°C, 38.1-40°C, and greater than 40°C.

Attributes of the disease neuron-like model include the type and subtype of disease. For example: the types of diseases include hypertension, diabetes, gastritis, eczema, coronary heart disease, cardiomyopathy, etc.; the subtypes of the diseases refer to symptoms, indicators, family inheritance, disease history, medication history, age and/or gender, etc. Combination, this combination can be used to judge the type of disease, for example: fever greater than 40℃ and white blood cell count greater than 1000 can be regarded as a subtype of a certain disease, fever greater than 37℃ and white blood cell count greater than 500 can be regarded as another subtype. type.

In this embodiment, by subdividing the disease neuron model and the disease evaluation factor neuron model, it is possible to intelligently implement a comprehensive inspection of the patient's health status, and assist a doctor to complete the pre-diagnosis for accurate diagnosis.

The neuron model generation module 120 is connected with the neuron model setting module 110, and is used for generating a corresponding neuron model according to the type and attribute of the neuron model.

In an embodiment of the present invention, the mathematical model expression of the neuron model may refer to the following types:

There are many forms for the excitation function f[.], such as: step type, linear type and sigmoid type.

The disease coping standard setting module 130 is used to set each disease coping standard information.

The neuron model association module 140 is respectively connected with the neuron model generation module 120 and the disease response standard setting module 130, and establishes neuron models for each disease type and each disease evaluation factor type according to the information on each disease response standard. Correlations between neuron models.

In an embodiment of the present invention, as shown in FIG. 2 , the neuron model association module 140 includes: a first association unit 141 , a second association unit 142 , or/and a third association unit 143 .

The first association unit 141 initially customizes the association relationship between each disease neuron model and each disease evaluation factor neuron model according to the preset disease response standard information.

The second association unit 142 updates and establishes the association relationship W _j of each disease neuron model and each disease evaluation factor neuron model according to the preset disease response standard information;

In an embodiment of the present invention, as shown in FIG. 3 , the intelligent medical brain model building system 100 further includes: a disease coping standard updating module 150 . The disease coping standard updating module 150 is connected in communication with the disease coping standard setting module 130, and is used for adding, deleting or/or updating information on each disease coping standard. The neuron model association module 140 further includes: a third association unit 143 . The third association unit 143 updates and adjusts the association relationship W _j between each disease neuron model and each disease evaluation factor neuron model according to the added, deleted or/and updated disease response standard information.

In an embodiment of the present invention, as shown in FIG. 4 , the neuron model generation module 120 includes: a neuron model input generation unit 121 , a neuron model processing and generation unit 122 , and a neuron model output generation unit 123 . The neuron model input generation unit 121 generates a corresponding neuron model input function according to the type and attribute of the neuron model; the neuron model processing and generation unit 122 generates a corresponding neuron model according to the type and attribute of the neuron model. The processing function of the neuron model; the neuron model output generating unit 123 generates the corresponding neuron model output function according to the type and attribute of the neuron model.

Specifically, when the neuron model generating module 120 generates the disease neuron model, the neuron model input generating unit 121 generates the corresponding disease neuron model input according to the attributes of the disease neuron model function; the attributes of the disease neuron model include the category of the disease, the name of the disease, the subcategory of the disease, and disease-related information; the neuron model processing and generating unit 122 generates according to the attributes of the disease neuron model The processing function of the corresponding disease neuron model; the neuron model output generating unit 123 generates the corresponding disease neuron model output function according to the attributes of the disease neuron model.

Specifically, when the neuron model generation module 120 generates the disease evaluation factor neuron model, the neuron model input generation unit 121 generates a corresponding disease evaluation according to the attributes of the disease evaluation factor neuron model The input function of the factor neuron model; the attributes of the disease evaluation factor neuron model include the category of the disease evaluation factor, the name of the disease evaluation factor, the level of the disease evaluation factor, and the related information of the disease evaluation factor; the neuron model The processing generation unit 122 generates a processing function of the corresponding disease evaluation factor neuron model according to the attributes of the disease evaluation factor neuron model; the neuron model output generation unit 123 The attribute generates the corresponding disease evaluation factor class neuron model output function.

In an embodiment of the present invention, as shown in FIG. 5 , the intelligent medical brain model building system 100 further includes: an information collection module 160 , a disease collection module 170 , and an analysis and processing module 180 .

The information collection module 160 is connected in communication with the disease evaluation factor neuron model, and collects a disease evaluation factor data set and inputs it into the disease evaluation factor neuron model;

The disease acquisition module 170 is connected in communication with the disease neuron model, and collects the output results of the disease neuron model; the analysis processing module 180 communicates with the disease acquisition module 160 and the disease response standard setting module 130 are respectively connected, and a comparative analysis is performed according to the output result of the disease neuron model and the expected result, and a relevant instruction of whether the corresponding disease response standard information needs to be corrected is output.

The intelligent medical brain model of the present invention can be automatically configured according to disease-related medical information input by medical experts to generate an intelligent medical diagnosis and treatment model for each disease, and the intelligent medical diagnosis and treatment model for each disease is continuously established or/or in the running process. It is of great guiding significance for the follow-up medical teaching and research to gradually form a comprehensive medical knowledge map and update the relationship between medical information related to various diseases.

Referring to FIG. 6 , an embodiment of the present invention further provides a method for establishing an intelligent medical brain model, including:

S601. Set the type and attribute of the neuron model; the types of the neuron model include a disease-type neuron model and a disease-evaluation factor-type neuron model.

S602. Generate a corresponding neuron model according to the type and attribute of the neuron model.

S603, setting standard information for each disease response.

S604 , establishing an association relationship between each disease neuron model and each disease evaluation factor neuron model according to the disease response standard information.

In an embodiment of the present invention, an implementation process of step S604 establishing an association relationship between each disease neuron model and each disease evaluation factor neuron model according to the disease response standard information includes: according to a preset The disease response standard information is initially customized to establish the correlation between each disease neuron model and each disease evaluation factor neuron model; or/and the disease response standard information is updated to establish the relationship between each disease neuron model and the disease evaluation factor neuron model; The correlation W _j of each disease evaluation factor neuron model is shown in Figure 7:

In an embodiment of the present invention, the method for establishing an intelligent medical brain model may further include: adding, deleting or/and updating standard information for each disease.

In an embodiment of the present invention, an implementation process of step S604 establishing an association relationship between each disease neuron model and each disease evaluation factor neuron model according to the disease response standard information further includes: according to adding , deleted or/and updated disease response standard information is updated to adjust the correlation W _j between each disease neuron model and each disease evaluation factor neuron model.

In an embodiment of the present invention, an implementation process of generating a corresponding neuron model according to the type and attribute of the neuron model in step S602 includes: generating a corresponding neuron model according to the type and attribute of the neuron model. an input function; a processing function of a corresponding neuron model is generated according to the type and attribute of the neuron model; a corresponding output function of the neuron model is generated according to the type and attribute of the neuron model.

In an embodiment of the present invention, an implementation process of step S602 generating the corresponding neuron model according to the type and attribute of the neuron model includes: when the generation module generates the disease neuron model, according to the disease The attributes of the neuron-like model generate a corresponding input function of the disease-like neuron model; the attributes of the disease-like neuron model include the major category of the disease, the name of the disease, the sub-category of the disease, and disease-related information; The attribute of the neuron model generates the processing function of the corresponding disease neuron model; and the corresponding disease neuron model output function is generated according to the attribute of the disease neuron model.

In an embodiment of the present invention, an implementation process of step S602 generating a corresponding neuron model according to the type and attribute of the neuron model includes: when generating the disease evaluation factor neuron model, according to the disease The attributes of the evaluation factor neuron model generate a corresponding input function of the disease evaluation factor neuron model; the attributes of the disease evaluation factor neuron model include the category of the disease evaluation factor, the name of the disease evaluation factor, and the level of the disease evaluation factor and the related information of the disease evaluation factor; generate the processing function of the corresponding disease evaluation factor neuron model according to the attribute of the disease evaluation factor neuron model; generate the corresponding disease according to the attribute of the disease evaluation factor neuron model Evaluate the factor class neuron model output function.

The embodiment of the present invention also provides a service system, including the intelligent medical brain model establishment system described in this application.

Embodiments of the present invention further provide a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the method for establishing an intelligent medical brain model of the present invention is implemented.

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

An intelligent medical brain model establishment system, characterized in that the intelligent medical brain model establishment system includes:

The neuron model setting module is used to set the type and attribute of the neuron model; the types of the neuron model include the disease neuron model and the disease evaluation factor neuron model;

a neuron model generation module, connected with the neuron model setting module, for generating a corresponding neuron model according to the type and attribute of the neuron model;

The disease response standard setting module is used to set the information of each disease response standard;

The neuron model association module is respectively connected with the neuron model generation module and the disease response standard setting module, and establishes the relationship between each disease neuron model and each disease evaluation factor neuron model according to the information on each disease response standard. relationship between.
The intelligent medical brain model building system according to claim 1, wherein the neuron model association module comprises:

The first association unit, according to preset disease response standard information, to initially customize the association relationship between each disease neuron model and each disease evaluation factor neuron model; or/and

The second association unit is to update and establish the association relationship W j of each disease neuron model and each disease evaluation factor neuron model according to the preset disease response standard information;

Wherein, W j represents the correlation coefficient between the disease evaluation factor data j in the disease factor set and the corresponding disease type data; M is a positive integer, representing the number of disease evaluation factor data in the disease factor set, N m represents the The number of disease type data associated with disease evaluation factor data m, N j represents the number of disease type data associated with disease evaluation factor data j, and j≤M.
The intelligent medical brain model building system according to claim 1, wherein the intelligent medical brain model building system further comprises:

The disease coping standard updating module is connected in communication with the disease coping standard setting module, and is used for adding, deleting or/and updating the information of each disease coping standard.
The intelligent medical brain model building system according to claim 3, wherein the neuron model association module further comprises:

The third association unit updates and adjusts the association relationship W j between each disease neuron model and each disease evaluation factor neuron model according to the added, deleted or/or updated disease response standard information.
The intelligent medical brain model establishment system according to claim 1, wherein the neuron model generation module comprises:

a neuron model input generating unit, which generates a corresponding neuron model input function according to the type and attribute of the neuron model;

a neuron model processing and generating unit, which generates a processing function of the corresponding neuron model according to the type and attribute of the neuron model;

The neuron model output generating unit generates a corresponding neuron model output function according to the type and attribute of the neuron model.
The intelligent medical brain model building system according to claim 5, wherein: when the neuron model generating module generates the disease neuron model,

The neuron model input generating unit generates a corresponding disease neuron model input function according to the attributes of the disease neuron model; the attributes of the disease neuron model include the category of the disease, the name of the disease, the Class and disease-related information;

The neuron model processing and generating unit generates a processing function of the corresponding disease neuron model according to the attribute of the disease neuron model;

The neuron model output generating unit generates a corresponding disease neuron model output function according to the attribute of the disease neuron model.
The intelligent medical brain model building system according to claim 5, wherein, when the neuron model generation module generates the disease evaluation factor neuron model,

The neuron model input generating unit generates a corresponding disease evaluation factor neuron model input function according to the attribute of the disease evaluation factor neuron model; the attribute of the disease evaluation factor neuron model includes the category of the disease evaluation factor , the name of the disease evaluation factor, the level of the disease evaluation factor and the relevant information of the disease evaluation factor;

The neuron model processing and generating unit generates a processing function of the corresponding disease evaluation factor neuron model according to the attributes of the disease evaluation factor neuron model;

The neuron model output generating unit generates a corresponding disease evaluation factor neuron model output function according to attributes of the disease evaluation factor neuron model.
The intelligent medical brain model building system according to claim 1, wherein the intelligent medical brain model building system further comprises:

an information collection module, which is connected in communication with the disease evaluation factor neuron model, and collects a disease evaluation factor data set and inputs it into the disease evaluation factor neuron model;

a disease acquisition module, connected in communication with the disease neuron model, and collecting the output results of the disease neuron model;

The analysis and processing module is respectively connected with the disease acquisition module and the disease response standard setting module, performs comparative analysis according to the output result of the disease neuron model and the expected result, and outputs whether the corresponding disease response standard information needs to be corrected. related instructions.
A method for establishing an intelligent medical brain model, characterized in that the method for establishing an intelligent medical brain model comprises:

Setting the type and attribute of the neuron model; the types of the neuron model include a disease neuron model and a disease evaluation factor neuron model;

Generate a corresponding neuron model according to the type and attribute of the neuron model;

Set the standard information for each disease;

The association relationship between each disease neuron model and each disease evaluation factor neuron model is established according to the disease response standard information.
The method for establishing an intelligent medical brain model according to claim 9, characterized in that an implementation of establishing the association relationship between each disease neuron model and each disease evaluation factor neuron model according to the disease response standard information The process includes:

According to the preset disease response standard information, the association relationship between each disease neuron model and each disease evaluation factor neuron model is initially customized; or/and

According to the preset disease response standard information update, establish the association relationship W j of each disease neuron model and each disease evaluation factor neuron model;

Wherein, W j represents the correlation coefficient between the disease evaluation factor data j in the disease factor set and the corresponding disease type data; M is a positive integer, representing the number of disease evaluation factor data in the disease factor set, N m represents the The number of disease type data associated with disease evaluation factor data m, N j represents the number of disease type data associated with disease evaluation factor data j, and j≤M.
The method for establishing an intelligent medical brain model according to claim 9, wherein the method for establishing an intelligent medical brain model further comprises:

Add, delete or/and update information on response criteria for each disease.
The method for establishing an intelligent medical brain model according to claim 11, wherein an implementation of establishing the association relationship between each disease neuron model and each disease evaluation factor neuron model according to the disease response standard information The process also includes:

The correlation relationship W j between each disease neuron model and each disease evaluation factor neuron model is updated and adjusted according to the added, deleted or/or updated disease response standard information.
The method for establishing an intelligent medical brain model according to claim 9, wherein an implementation process of generating a corresponding neuron model according to the type and attribute of the neuron model comprises:

Generate a corresponding neuron model input function according to the type and attribute of the neuron model;

Generate the processing function of the corresponding neuron model according to the type and attribute of the neuron model;

A corresponding neuron model output function is generated according to the type and attribute of the neuron model.
The method for establishing an intelligent medical brain model according to claim 13, wherein an implementation process of generating a corresponding neuron model according to the type and attribute of the neuron model comprises:

When the generation module generates the disease neuron model,

A corresponding disease neuron model input function is generated according to the attributes of the disease neuron model; the attributes of the disease neuron model include the major category of the disease, the name of the disease, the subcategory of the disease, and disease-related information;

Generate a processing function of the corresponding disease neuron model according to the attributes of the disease neuron model;

A corresponding disease neuron model output function is generated according to the attributes of the disease neuron model.
The method for establishing an intelligent medical brain model according to claim 13, wherein an implementation process of generating a corresponding neuron model according to the type and attribute of the neuron model comprises:

When generating the neuron model of the disease evaluation factor,

A corresponding input function of the disease evaluation factor neuron model is generated according to the attributes of the disease evaluation factor neuron model; the attributes of the disease evaluation factor neuron model include the category of the disease evaluation factor, the name of the disease evaluation factor, the disease The level of the evaluation factor and the related information of the disease evaluation factor;

Generate a processing function of the corresponding disease evaluation factor neuron model according to the attributes of the disease evaluation factor neuron model;

A corresponding output function of the disease evaluation factor neuron model is generated according to the attributes of the disease evaluation factor neuron model.
The method for establishing an intelligent medical brain model according to claim 9, wherein the method for establishing an intelligent medical brain model further comprises:

collecting a disease evaluation factor dataset and inputting the disease evaluation factor neuron model;

collecting the output result of the disease neuron model;

A comparative analysis is performed according to the output result of the disease-like neuron model and the expected result, and a relevant instruction on whether the corresponding disease response standard information needs to be corrected is output.
A service system, characterized in that it includes the intelligent medical brain model building system according to any one of claims 1 to 8.
A computer-readable storage medium on which a computer program is stored, characterized in that: when the computer program is executed by a processor, the intelligent medicine according to any one of claims 9 to 16 is implemented Methods of building brain models.