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 |
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