Human body weight loss scheme recommendation method and system based on machine learning, and medium

Abstract

The invention discloses a human body weight loss scheme recommendation method and system based on machine learning, and a medium. A training set is constructed, and multiple human body function measurement values are acquired for each training sample; the acquired measurement values are pre-processed; the basal metabolic rate characteristic, the trunk subcutaneous fat percentage characteristic andthe visceral fat index characteristic are extracted from the pre-processed measurement values, and the basal metabolic rate characteristic, the trunk subcutaneous fat percentage characteristic and the visceral fat index characteristic are subjected to characteristic fusion, the fused characteristics of each sample and pre-set weight loss scheme labels of each sample are inputted into a pre-builtneural network model for training, and a trained neural network model is obtained; multiple human body function measurement values are acquired for each test sample; the acquired measurement values are pre-processed; three characteristics are extracted from the pre-processed measurement values, characteristic fusion is performed, the fused characteristics of each test sample are inputted into thetrained neural network model, and a recommended weight loss scheme is outputted.

Description

technical field [0001] The invention relates to a method, system and medium for recommending a human body weight loss program based on machine learning. Background technique [0002] In developing countries, the mismatch between long-established traditional living habits and material production has led to the rapid spread of related health problems. Health problems will bring a heavy burden to our society and economy in the foreseeable future. A large number of studies have shown that the positive impact of simple lifestyle intervention improvement on life expectancy is equivalent to the investment of first-class medical resources, and it is a means of realizing cost-effective social health security. [0003] With the improvement of living standards, overweight and so-called "hidden obesity" have become common health problems in modern civilization. According to epidemiological findings, overweight problems are associated with the development of the vast majority of chroni...

AI Technical Summary

Problems solved by technology

At present, there is no research on human body weight loss regulation methods and health effects using machine learning methods for data analysis.

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