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Intelligent diagnosis method and system for common diseases

A technology of intelligent diagnosis and disease diagnosis, applied in medical automation diagnosis, promoting communication between doctors or patients, instruments, etc., can solve problems such as inability to diagnose new users

Inactive Publication Date: 2019-03-22
XINBO ZHUOCHANG TECH BEIJING
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the system can diagnose diseases, it requires users to wear smart bracelets and cannot diagnose new users

Method used

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  • Intelligent diagnosis method and system for common diseases
  • Intelligent diagnosis method and system for common diseases
  • Intelligent diagnosis method and system for common diseases

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] Such as figure 1 As shown, execute step 100 to collect chief complaint information. Collect the main complaint information input by the user and / or the user enters the corresponding answer according to the question. Step 110 is executed to extract disease features according to the chief complaint information and / or answers to questions.

[0044] Execute step 120, input the disease characteristics into the disease diagnosis module, and the disease diagnosis module matches the disease characteristics with the data in the disease characteristic knowledge map and / or disease-related database, obtains the matched disease characteristic knowledge, and screens it by the diagnosis model After , scoring, and sorting, output the list of shortlisted candidate diseases and generate next-step questions. The knowledge map of disease characteristics includes adjustment and improvement by a team of medical experts in combination with diagnostic knowledge and clinical experience, inclu...

Embodiment 2

[0049] Such as figure 2 As shown, an intelligent diagnosis system for common diseases includes a collection module 200 , a feature extraction module 210 , a knowledge matching module 220 , a disease diagnosis module 230 and an application presentation module 240 .

[0050]The collecting module 200 is used to collect the main complaint information, collect the main complaint information input by the user and / or the corresponding answer input by the user according to the question.

[0051] The feature extraction module 210 is used to extract disease features according to the chief complaint information and / or answers to questions.

[0052] The knowledge matching module 220 is used to match the extracted user disease features with data in the disease feature knowledge map and / or disease-related database to obtain matched disease feature knowledge. The knowledge map of disease characteristics includes adjustment and improvement by a team of medical experts in combination with di...

Embodiment 3

[0056] The purpose of the present invention is to find out the characteristic elements and their interrelationships that affect the diagnosis of diseases, and establish a disease diagnosis model, thereby assisting clinicians to complete the intelligent diagnosis of common diseases, and provide disease knowledge learning and intervention guidance; at the same time, it is suitable for patients' self-diagnosis , Enhance self-disposal ability.

[0057] On the one hand, a disease diagnosis method is proposed, including: automatically extracting disease features according to the chief complaint information input by the user or answering system questions; matching the extracted disease features with disease feature knowledge, and inputting the matched disease feature knowledge into the disease The diagnostic model is used to screen, score, and sort, output the shortlisted list of suspected diseases and generate questions for the next step, until a matching disease or no related diseas...

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Abstract

The invention provides an intelligent diagnosis method and system for common diseases. The method includes collecting complaint information and further comprises the following steps: the step 1 of extracting a disease feature according to the complaint information and / or an answer for a question; the step 2 of inputting the disease feature into a disease diagnosis module; the step 3 of outputtinga list of suspected diseases; the step 4 of judging whether the disease is the final matched disease, if not, performing the step 1, the step 2 and the step 3 again; the step 5 of outputting the finalmatched disease. The intelligent diagnosis method and system for common diseases for common users can identify various feature factors affecting the diagnosis of the diseases and the mutual relations, and establish a disease diagnosis model, thereby assisting a clinician to complete the intelligent diagnosis of the common diseases and provide disease knowledge learning and intervention guidance.At the same time, the method and system are applicable to self diagnosis of patients and can enhance the self-disposal capability of the patients.

Description

technical field [0001] The invention relates to the technical field of disease prevention and control, in particular to an intelligent diagnosis method and system for common diseases. Background technique [0002] The medical and health industry is facing many challenges such as population aging, urbanization, and high incidence of chronic diseases. At present, the supply of high-quality doctors is seriously insufficient, and the allocation of high-quality doctor resources is unreasonable. At the same time, the training period for doctors is relatively long. [0003] The currently released doctor training model is mainly the "5+3" model, that is, after the completion of the 5-year undergraduate education in medical majors, 3 years of standardized resident training, and after passing the graduation examination, you will have the qualifications of doctors. Physician, Internal Medicine Physician. Compared with the international minimum training period of 11 years, it is still ...

Claims

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Application Information

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IPC IPC(8): G16H50/20G16H80/00
CPCG16H50/20G16H80/00
Inventor 吕军震胥洪锋于国方李长松郭二中武佳
Owner XINBO ZHUOCHANG TECH BEIJING
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