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Health state detection method and device based on model interpretation, and readable storage medium

A technology of health status and detection method, applied in the field of artificial intelligence, can solve the problem of low confidence in health status detection

Active Publication Date: 2020-10-23
杭州憶盛医疗科技有限公司
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  • Application Information

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Problems solved by technology

[0003] The main purpose of this application is to provide a health status detection method, device and readable storage medium based on model interpretation, aiming to solve the technical problem of low confidence in health status detection in the prior art

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  • Health state detection method and device based on model interpretation, and readable storage medium
  • Health state detection method and device based on model interpretation, and readable storage medium
  • Health state detection method and device based on model interpretation, and readable storage medium

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Embodiment Construction

[0075] It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.

[0076] The embodiment of the present application provides a health state detection method based on model interpretation. In the first embodiment of the health state detection method based on model interpretation in this application, refer to figure 1 , the health status detection method based on model interpretation includes:

[0077] Step S10, obtaining the user data corresponding to the target user to be detected, and inputting the user data to be detected into a preset health state prediction model, detecting the health state of the target user, and obtaining an initial health state detection result;

[0078] In this embodiment, it should be noted that the user data to be detected is data associated with the health status of the target user and is used to evaluate the health status of the target user, wherein t...

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Abstract

The invention discloses a health state detection method and device based on model interpretation, and a readable storage medium. The health state detection method based on model interpretation comprises the following steps: acquiring to-be-detected user data corresponding to a target user, inputting the to-be-detected user data into a preset health state prediction model, and detecting the healthstate of the target user to acquire an initial detection result of a health state; and performing model prediction interpretation on the initial detection result of the health state to obtain a healthstate influence factor corresponding to the initial detection result of the health state, and generating a target health state detection result corresponding to the target user based on the health state influence factor and the initial detection result of the health state. According to the invention, the technical problem of low confidence degree of health state detection is solved.

Description

technical field [0001] The present application relates to the field of artificial intelligence, and in particular to a method, device and readable storage medium for health state detection based on model interpretation. Background technique [0002] With the continuous development of computer software and artificial intelligence, the application of machine learning models is becoming more and more extensive. Because people's living habits are becoming more and more irregular, most people are in an abnormal state of health, and people who have been in an abnormal state of health for a long time There will be situations such as decreased immunity. At present, machine learning models usually score the user's health status based on the collected user data, and then judge whether the user is in an abnormal health status based on the score. For example, if the score is lower than the preset score threshold, it is judged that the user is in an abnormal health state. However, only b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30G06Q10/06G06K9/62G06N20/20
CPCG16H50/30G06Q10/06393G06N20/20G06F18/2415
Inventor 曹小伍雷铭轩欧阳思奕方梓馨李禅华国明
Owner 杭州憶盛医疗科技有限公司
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