Evaluation of centre‐specific machine learning models in predicting 2‐year outcomes of hip arthroscopy for mixed femoracetabular impingement syndrome

Abstract Purpose To construct a centre‐specific machine learning (ML) prediction model based on preoperative factors. It was hypothesised that the ML prediction model would accurately predict whether patient‐reported outcome scores (PROs) over at least 2 years would reach the minimal clinically impo...

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Hauptverfasser:	Gang Yang, Jiali Kang, Fan Hu, Yin Pei, Dingge Liu, Zhihua Zhang, Kaiping Liu, Langran Wang, Xi Gong, Haijun Wang, Shuangshuang Deng, Ruijie Liu, Xin Zhang
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Wiley 2025-10-01
Schriftenreihe:	Journal of Experimental Orthopaedics
Schlagworte:	femoroacetabular impingement syndrome hip arthroscopy machine learning prediction models patient‐reported outcomes scores preoperative factors
Online-Zugang:	https://doi.org/10.1002/jeo2.70477
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