Medical diagnosis auxiliary method and system

A technology for medical diagnosis and medical data, applied in medical automation diagnosis, neural learning methods, computer-aided medical procedures, etc., can solve the problems of single model and incomplete data source, and achieve the effect of improving the overall accuracy and solving the incomplete data source.

Pending Publication Date: 2021-03-19
贵州小宝健康科技有限公司 +1
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Problems solved by technology

[0005] In order to solve the above-mentioned technical problems, the present invention provides an auxiliary method for medical diagnosis, which can largely solve the problem of Pr...

Method used

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  • Medical diagnosis auxiliary method and system
  • Medical diagnosis auxiliary method and system
  • Medical diagnosis auxiliary method and system

Examples

Experimental program
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Effect test

Embodiment 1

[0061] Using the above scheme, if figure 1 , image 3 As shown, a variety of medical data are preprocessed and summarized, and a variety of classification models are selected from the classification model pool to classify the summarized data. The decision values ​​of the various classification models are summarized for decision fusion, and the decision fusion adopts the voting method.

[0062] The main operation of using the voting method is as follows: first, establish a dictionary of disease categories to count the votes; then, read the decision values ​​of each sub-model cyclically, use the dictionary to count the categories and votes, and sort the votes; then Next, the relative majority voting method is used to calculate the voting structure. When a certain category has the most votes, the algorithm will output this category as the final conclusion; One of these categories is randomly selected as the final conclusion.

Embodiment 2

[0064] Using the above scheme, if figure 2 , Figure 4 As shown, after preprocessing a variety of medical data, different classification models are used for classification; decision fusion adopts the weight method.

[0065] The main operation of using the weight method is: the category probability of each modal data after analysis is regarded as its decision value, and this is used as the input of the algorithm; first, the sub-model decision values ​​need to be aligned according to the category, converted and spliced ​​into a decision matrix ; Next, use the decision matrix to multiply the corresponding elements of the weight array, and sum the weighted probabilities of each category by column; finally, output the category with the highest probability as the final conclusion.

[0066] Example 3

[0067] Another realization of the integration of the above schemes is to obtain more accurate auxiliary diagnosis conclusions through the analysis of various clinical data generated...

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Abstract

The invention provides a medical diagnosis auxiliary method, which belongs to the technical field of computer assistance, and comprises the following steps: classifying based on various medical data by adopting various classification models to obtain a plurality of classification decision values; and performing decision fusion on the plurality of classification decision values to obtain a classification decision value as a classification result to be output. The invention further provides a medical diagnosis auxiliary system. According to the invention, the problems of incomplete data sources,single model and the like can be solved to a great extent by respectively operating various medical data and various classification models and finally performing decision fusion, and the overall accuracy of the universal medical diagnosis auxiliary system is effectively improved from the aspect of a technical framework.

Description

technical field [0001] The invention relates to an auxiliary method and system for medical diagnosis, belonging to the field of computer aided technology. Background technique [0002] With the development of artificial intelligence-related technologies, a large number of systems based on artificial intelligence technology to assist medical diagnosis have appeared in the existing technology. For example, the invention patent with application number CN202010592658.1 discloses a medical data processing method, device, equipment and storage medium . [0003] However, artificial intelligence-related technologies need to adopt different solutions for specific application scenarios, especially the actual situation of data in specific application scenarios should be considered. [0004] Based on this principle, the inventors of the present application found that: for medical diagnosis, the existing technology does not fully consider the actual situation of data such as classificat...

Claims

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Application Information

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IPC IPC(8): G16H50/20G06N3/04G06N3/08
CPCG16H50/20G06N3/08G06N3/045
Inventor 李晖冯刚韦海涛张大斌
Owner 贵州小宝健康科技有限公司
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