Medical analysis method and device based on deep learning

Abstract

The invention discloses a medical analysis method and device based on deep learning, and belongs to the field of medical and big data. The method comprises the steps that medical images uploaded by medical equipment and body state data uploaded by an intelligent wearing device are collected and stored; depth learning is carried out on the stored medical images and the body state data at each firstpreset time interval, a medical image analysis model and a body state analysis model are obtained, and the stored medical image analysis model and the body state analysis model are updated; the received medical image and the body state data by using the currently stored analysis model, a first analysis result and a second analysis result are obtained, and the confidence degree of the medical image and the body state data is determined according to the obtained analysis result. According to the method, the confidence degree of the medical image and the body state data is determined on the basis of the analysis model obtained by learning, so that the data that can more accurately reflect the body conditions can be determined, and a foundation is laid for subsequent body condition analysis.

Description

technical field [0001] The present invention relates to the fields of medical treatment and big data, in particular to a medical analysis method and device based on deep learning. Background technique [0002] With the continuous improvement of people's quality of life, people pay more and more attention to their own health status. They usually use regular physical examinations combined with wearing smart devices to understand their physical conditions in real time; among them, regular physical examinations can be achieved through professional medical equipment. Although the probability of deviation is very small to know the physical state of the obtained medical images, it still exists; while wearing smart devices, although the physical state data of the wearer can be obtained in real time, it can reflect the change of the physical state of the wearer from a certain level , but it is greatly affected by the emotional changes of the wearer. When the wearer is depressed or ex...

AI Technical Summary

Problems solved by technology

[0002] With the continuous improvement of people's quality of life, people pay more and more attention to their own health status. They usually use regular physical examinations combined with wearing smart devices to understand their physical conditions in real time; among them, regular physical examinations can be achieved through professional medical equipment. Although the probability of deviation is very small to know the physical state of the obtained medical images, it still exists; while wearing smart devices, although the physical state data of the wearer can be obtained in real time, it can reflect the change of the physical state of the wearer from a certain level , but it is greatly affected by the emotional changes of the wearer. When the wearer is depressed or excited, the collected physical state data is often not within the normal range. However, the physical state of the wearer may not have changed. Temporary fluctuations

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