Machine learning methods are comparable to logistic regression techniques in predicting severe walking limitation following total knee arthroplasty
Yong‐Hao Pua; Hakmook Kang; Julian Thumboo; Ross A. Clark; Eleanor Shu-Xian Chew; Cheryl Lian-Li Poon; Hwei‐Chi Chong; Seng-Jin Yeo · 2019 · Knee Surgery Sports Traumatology Arthroscopy
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
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,…
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Metadata source: OpenAlex · DOI 10.1007/s00167-019-05822-7