Machine learning methods are comparable to logistic regression techniques in predicting severe walking limitation following total knee arthroplasty

Purpose Machine-learning methods are flexible prediction algorithms with potential advantages over conventional regression. This study aimed to use machine learning methods to predict post-total knee arthroplasty (TKA) walking limitation, and to compare their performance with that of logistic regres...

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Veröffentlicht in:Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA sports traumatology, arthroscopy : official journal of the ESSKA, 2020-10, Vol.28 (10), p.3207-3216
Hauptverfasser: Pua, Yong-Hao, Kang, Hakmook, Thumboo, Julian, Clark, Ross Allan, Chew, Eleanor Shu-Xian, Poon, Cheryl Lian-Li, Chong, Hwei-Chi, Yeo, Seng-Jin
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Sprache:eng
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