Disease prediction set processing method and device, electronic equipment and storage medium

Abstract

The invention discloses a disease prediction set processing method and device, electronic equipment and a storage medium. The method comprises the steps: obtaining a disease prediction set of a to-be-detected sample, wherein the disease prediction set comprises at least two disease types subjected to confidence degree sorting, and the to-be-detected sample comprises at least one symptom feature; based on the confusion degree of the at least one symptom feature, scoring the to-be-detected sample to judge whether the to-be-detected sample is an error-prone sample; and if the to-be-detected sample is an error-prone sample, adjusting the confidence degree sequence in the disease prediction set of the to-be-detected sample. In this way, the prediction accuracy of the disease prediction set can be improved.

Description

technical field

[0001] The present application relates to the field of intelligent medical technology, in particular to a method for processing a disease prediction set, electronic equipment and a storage medium. Background technique

[0002] With the development of information technology, using information technology to replace or assist manual tasks such as production and decision-making has become one of the mainstream trends in the development of information technology. In medical scenarios, the use of information technology can provide predictions and recommendations for medical diagnosis problems, thereby assisting doctors in medical diagnosis.

[0003] At present, the accuracy of top2 or top3 in the disease prediction set output by the disease prediction model is relatively high, while the accuracy of top1 is low. The symptoms are very similar, so it is difficult to find a combination of one or more symptoms as a gold standard to distinguish confusing diagnosis clust...

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