Abstract
With the continuous improvement of living standards, the level of physical development of adolescents has improved significantly. The physical functions and healthy development of adolescents are relatively slow and even appear to decline. This paper proposes a novel data mining algorithm based on big data for monitoring of adolescent student's physical health to overcome this problem and enhance young people's physical fitness and mental health. Since big data technology has positive practical significance in promoting young people's healthy development and promoting individual health rights, this article will implement commonly used data mining algorithms and Hadoop/Spark big data processing. The algorithm on different platforms verified that the big data platform has good computing performance for the data mining algorithm by comparing the running time. The current work will prove to be a complete physical health data management system and effectively save, process, and analyze adolescents' physical test data.
Highlights
In recent years, due to the rapid economic development, people spend more and more time at work and have less time for physical exercise and physical activity
Significant changes have taken place in the lifestyles of youths. is amount has been significantly reduced compared with before, and the busy schoolwork of adolescents has led to a significant reduction in the time of their physical exercise [1]
Digging out the problems that the data can reflect, it is impossible to formulate a targeted intervention plan based on the corresponding data analysis results. erefore, in the current environment of big data and deep learning [4], we should use data analysis systems to analyze and process data appropriately. e preservation, processing, and analysis of youth physical examination data have always been an essential part of its physical examination. e physical test score for young students still adopts a purely manual method; that is, after the physical test is completed [5], the score data is input or exported and saved as an Excel file
Summary
Due to the rapid economic development, people spend more and more time at work and have less time for physical exercise and physical activity. Is research aims to establish a complete physical health data management system and effectively save, process, and analyze adolescents’ physical test data through the system. Lili Pan [24] developed a data mining tool for monitoring big data of physical exercises and sports For this purpose, statistics and deep learning [25] were employed to collect and analyze competitive sports information. In the existing research on the healthy development of adolescents, in addition to showing the status quo of the healthy development of adolescents from the dimensions of adolescents’ physical health, mental health, and social interaction, foreign frontiers attach great importance to the performance of adolescents’ health risk behaviors.
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