The Skeletal Oncology Research Group Machine Learning Algorithm (SORG-MLA) for predicting prolonged postoperative opioid prescription after total knee arthroplasty: an international validation study using 3,495 patients from a Taiwanese cohort

Abstract Background Preoperative prediction of prolonged postoperative opioid use (PPOU) after total knee arthroplasty (TKA) could identify high-risk patients for increased surveillance. The Skeletal Oncology Research Group machine learning algorithm (SORG-MLA) has been tested internally while lacki...

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Bibliografische Detailangaben

Hauptverfasser:	Cheng-Chen Tsai, Chuan-Ching Huang, Ching-Wei Lin, Paul T. Ogink, Chih-Chi Su, Shin-Fu Chen, Mao-Hsu Yen, Jorrit-Jan Verlaan, Joseph H. Schwab, Chen-Ti Wang, Olivier Q. Groot, Ming-Hsiao Hu, Hongsen Chiang
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	BMC 2023-07-01
Schriftenreihe:	BMC Musculoskeletal Disorders
Schlagworte:	Prolonged opioid use Total knee arthroplasty Machine learning Prediction model Asian group Acetaminophen use
Online-Zugang:	https://doi.org/10.1186/s12891-023-06667-5
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