Raw and discretized data of female volleyball athletes in range of motion and strength tests

In this study we examined risc factors for knee pain with traditional group comparison and with data-mining methods such as discretization, information gain and association rules. We could identify categories which are associated with a higher risk for knee pain and relevant interaction of categories.

本研究采用传统组间比较法，并结合离散化（discretization）、信息增益（information gain）与关联规则（association rules）等数据挖掘方法，对膝关节疼痛的风险因素展开探究。研究成功识别出与膝关节疼痛高风险相关的类别，以及各类别间的相关交互作用。