Treatment plan recommending method based on combination of expert authority and case reliability, and system

A treatment plan and recommendation method technology, applied in the field of machine learning and medical decision-making, to achieve the effect of improving accuracy, making the decision-making process reasonable and more convincing
CN110364263AActive Publication Date: 2019-10-22SHANGHAI JIAO TONG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANGHAI JIAO TONG UNIV
Publication Date
2019-10-22

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Abstract

The invention provides a treatment plan recommending method based on combination of expert authority and case reliability, and a system. The method comprises the steps of determining k similar historical case samples of a target case, acquiring doctor ballot data and a final treatment plan of each case sample in the k similar historical case samples, calculating doctor ballot accuracies; sequencing the doctor ballot accuracies in the historical case samples, obtaining an authority expert list, and calculating ballot certainty degree according to the authority expert list; calculating a reliability function value according to the k similar historical case samples; multiplying the reliability function value of each historical case sample with the certainty degree, and obtaining the final reliability of the case sample; combining the final reliabilities of the case samples by means of a DS evidence theory, and selecting the treatment plan with highest reliability as a recommended plan. The reliabilities of the historical cases are optimized by means of the process, and finally the DC reliability is combined with the model for generating a final decision result.
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Description

technical field

[0001] The present invention relates to the related technical fields of machine learning and medical decision-making, in particular, to a method and system for recommending a treatment plan based on the combination of expert authority and case reliability. Background technique

[0002] For the recommendation of medical plans, the existing methods mainly combine historical case data and corresponding machine learning algorithms to make the final decision, without directly considering the uncertainty of the plan adopted by the patient in the historical case. Therefore, it is necessary not only to consider the opinions of experts and combine the authority of experts; at the same time, it is also necessary to further pay attention to the differences in the authority of experts in different cases due to differences in experience and knowledge. Based on the above point of view, a feasible idea is: based on a set of historical approximate cases with a given capacity...

Claims

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