Method, system and medium for recommending human body weight loss plan based on machine learning

A machine learning and human body technology, applied in the fields of instruments, informatics, complex mathematical operations, etc., can solve problems that have not yet appeared in research, and achieve the effects of simple and convenient use, optimized human body weight loss, and high stability

Active Publication Date: 2021-08-27
SHANDONG NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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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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  • Method, system and medium for recommending human body weight loss plan based on machine learning
  • Method, system and medium for recommending human body weight loss plan based on machine learning
  • Method, system and medium for recommending human body weight loss plan based on machine learning

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[0066] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0067] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

[0068] The invention is a weight loss mechanism regulation method aimed at human health. With the development o...

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Abstract

The invention discloses a machine learning-based human body weight loss program recommendation method, system and medium, constructs a training set, and collects several measured values ​​of human body functions for each training sample; preprocesses the collected measured values; The features of basal metabolic rate, trunk subcutaneous fat percentage and visceral fat index are extracted from the measured values, and the extracted features of basal metabolic rate, trunk subcutaneous fat percentage and visceral fat index are fused, and the fused features of each sample are combined with each The pre-set weight loss program labels for each sample are input into the pre-built neural network model for training, and the trained neural network model is obtained; a number of human body function measurement values ​​are collected for the test samples; the collected measurement values ​​are preprocessed; Three features are extracted from the preprocessed measurement values, and feature fusion is performed. The fused features of each test sample are input into the trained neural network model, and the recommended weight loss plan is output.

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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H20/00G06F17/18
CPCG06F17/18G16H20/00
Inventor 王红王倩王彩雨赵丽丽王峰虞凤萍王露潼宋永强张伟胡斌
Owner SHANDONG NORMAL UNIV
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