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Effects of Taiji on Participants' Knees: A Behavioral-Modeling Approach

机译：太极拳对参与者膝盖的影响：行为建模方法

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More and more people like to practice taiji for different purposes. Taiji has been proposed as a treatment for the knee osteoarthritis. But there have always been different opinions that Taiji can cause knee injuries. The information on an individual participant is often incomplete. When complementary information is integrated, a better profile of a participant's knee can be built to explore the tension. This paper aims to investigate the effects of Taiji on knees. We introduce a method for buildting a mapping among Taiji participants and their knee healthcare. It consists of three key components: the first component identifies Taiji participants' unique behavioral patterns; the second component constructs features due to these behavioral patterns; and the third component exploys machine learning for effective computing. We formally define the problem and show that our method is effective. This study paves the way for analysis and mining knee osteoarthritis prevention and treatment. It also facilitates the creation of novel healthcare services.
机译：越来越多的人喜欢为不同的目的练习太极拳。太极拳已被提议作为膝盖骨关节炎的一种治疗方法。但是，一直以来有不同的观点认为太极拳可能会导致膝盖受伤。有关单个参与者的信息通常是不完整的。当整合了补充信息时，可以建立参与者膝盖的更好轮廓，以探究张力。本文旨在研究太极拳对膝盖的影响。我们介绍了一种在太极参与者及其膝关节保健之间建立映射的方法。它由三个关键组成部分组成：第一个组成部分确定了太极拳参与者独特的行为模式;由于这些行为模式，第二部分构造了特征;第三部分采用机器学习来进行有效的计算。我们正式定义了问题，并表明我们的方法是有效的。该研究为分析和挖掘膝关节骨关节炎的预防和治疗铺平了道路。它还促进了新型医疗服务的创建。

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