An Intelligent System to Improve Athlete Depression and Eating Disorder using Artificial Intelligence and Big Data Analysis

Xuannuo Chen, Yu Sun
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Abstract

The inspiration for the creation of this app stemmed from the deeply rooted history of eating disorders in sports, particularly in sports that emphasize appearance and muscularity which often includes gymnastics, figure skating, dance, and diving [1]. All three sports require rapid rotation in the air which automatically results in the necessity of a more stringent weight requirement. Eating disorders can also be aggravated by sports who focus on individual performances rather than team-oriented like basketball or soccer [5]. According to research, up to thirteen percent of all athletes have, or are currently suffering from a form of eating disorder such as anorexia [2] and bulimia [3]. In the National Collegiate Athletic Association, it is estimated that up to sixteen percent of male athletes and forty-five percent of female athletes have been diagnosed with an eating disorder.
利用人工智能和大数据分析改善运动员抑郁和饮食失调的智能系统
这款应用的创作灵感源于体育运动中饮食失调的根深蒂固的历史,特别是在强调外表和肌肉的运动中,通常包括体操、花样滑冰、舞蹈和跳水[1]。这三种运动都需要在空中快速旋转,这必然导致对体重的严格要求。注重个人表现而不是像篮球或足球这样注重团队的运动也会加重饮食失调[5]。根据研究,多达13%的运动员患有或正在患有厌食症[2]和贪食症[3]等饮食失调症。据全国大学体育协会估计,多达16%的男运动员和45%的女运动员被诊断患有饮食失调症。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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