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Smart Health Analysis on Factors Influencing Physical Health Based on the Self-Organizing Map Network

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This paper builds a students' physical health influencing factors analysis model based on the SOM network. First, Analytic Hierarchy Process (AHP) is adopted to confirm the weighted value of various indexes of students' physical health influencing factors. One fourth of the weighted value of various indexes is adopted as the gradient to divide students' physical health grades and periods, and as the input training samples for the SOM network. Following that, the SOM network after training is analyzed for its sensitivity towards factors influencing physical health. Results suggest that: (1) Duration and intensity of physical exercise is a deciding factor. According to the simulated results, a student with disqualified physical health can recover to a sound state by ensuring the index value of the above deciding factor to be above 0.6. (2) In terms of a student with good physical health, when duration and intensity of his physical exercise is "0", his physical health will be disqualified. In order to maintain the sound physical health, the index value of duration and intensity of his physical exercise must be above 0.3.

Keywords: ANALYTIC HIERARCHY PROCESS (AHP); INFLUENCING FACTORS; SOM NETWORK; STUDENTS' PHYSICAL HEALTH

Document Type: Research Article

Publication date: 01 January 2020

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  • Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
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