Intelligent medical information processing method and device

Abstract

The embodiment of the invention provides an intelligent medical information processing method and device. The method comprises the steps: obtaining feature information of a user ; automatically predicting the physical state of the user according to a BP neural network model obtained by pre-training and the feature information to obtain a prediction result corresponding to the user; correcting theprediction result based on a DS evidence theory to ensure accurate determination of the prediction result; and sending the corrected prediction result to a client for display so as to prompt a user totake corresponding measures. According to the scheme provided by the embodiment of the invention, the body state information of the user can be automatically predicted according to the feature information of the user and the pre-trained BP neural network, and the prediction result is sent to the client to be displayed, so that the user can select corresponding measures according to the predictionresult, and an early warning effect is achieved.

Description

technical field [0001] Embodiments of the present invention relate to the field of smart medical technology, and in particular, to a method and device for processing smart medical information. Background technique [0002] In recent years, the rapid development of information technology has driven progress in many fields. For example, when applied to the transportation field, it can improve the management efficiency of the transportation industry, timely warn and reduce the occurrence of traffic accidents, etc. For another example, in the medical field, integrating medical resources through informatization means to realize medical networks and resident health information management systems such as network interconnection and information resource sharing of regional medical institutions can not only improve the work efficiency of relevant medical institutions, but also Real-time monitoring of people's health status, early tracking and early warning of people's health status i...

AI Technical Summary

Problems solved by technology

[0004] However, if the existing methods blindly go to medical institutions for examinations for people with relatively good health status, it will occupy a part of medical resources to a certain extent, and it will also consume more time for this part of the population.

For people with poor health status, they often miss the best treatment period because of untimely medical consultation

Therefore, there is a lack of mechanisms such as monitoring and early warning of personalized online private health status information based on different users

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