Healthy life style guidance system and method based on multivariate information fusion

Abstract

The invention relates to a healthy life style guidance system and method based on multivariate information fusion. The guidance system at least comprises a cloud processor, at least one terminal and acloud storage medium. The terminal provides an expected result for health assessment and / or treatment assessment of a corresponding user to the cloud processor, so that the cloud processor can selectcorresponding multiple types of historical guidance sample libraries based on the fused multivariate user data of the user and can generate a first result and a second result based on the fused multivariate user data; the cloud processor responds to the selection of the user for the first result or the second result and screens out a first primary class historical guidance sample library of one of the multiple classes of historical guidance sample libraries, and provides a plurality of selectable initial guidance schemes in the selected first primary class historical guidance sample library to the terminal according to the fused multivariate user data of the user and by referring to the selection of the first result or the second result.

Description

technical field [0001] The present invention relates to a system and a method for instructing a user how to improve a user's healthy lifestyle according to the user's health information, in particular to a system and method for instructing a healthy lifestyle based on multi-information fusion. Background technique [0002] In recent years, there has been an increase in the number of lifestyle-related diseases. Lifestyle-related diseases, the onset and development of which can be considered to be influenced by living habits, such as eating habits, exercise habits, rest, smoking, and alcohol consumption. Generally include such as cancer, diabetes, stroke and coronary heart disease, and these lifestyle-related diseases are not easy to treat after the onset. According to the research report of the World Health Organization, one-third of human diseases can be avoided through preventive health care, one-third of diseases can be effectively controlled by early detection, and one-t...

AI Technical Summary

Problems solved by technology

[0016] The present invention provides that for the existing closed-loop "detection-assessment-guidance-feedback" health guidance system and method, it does not take into account the multivariate fusion of user sign data, exercise data and diet data, resulting in the inability to pass the cross-loop multivariate Data to reduce the interference and uncertainty brought by the data detected by wearable devices and other mobile terminals, so that the efficiency of the guidance system is low, and at the same time, the reliability of the source of the data cannot be tested, resulting in the problem of low credibility of the guidance system , the present invention forms a closed mutual supplementary and confirmed fusion mechanism through the mutual verification of user sign data, exercise data, and diet data, which can not only improve the efficiency of the guidance system to generate guidance plans, but also enable knowledge-based The library supplements user sign information, exercise information and diet information, and reduces the uncertainty and interference of terminal detection data to ensure the accuracy and reliability of user health assessment

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