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

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 lacking exter...

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Detalles Bibliográficos
Autores principales: Tsai, Cheng-Chen, Huang, Chuan-Ching, Lin, Ching-Wei, Ogink, Paul T., Su, Chih-Chi, Chen, Shin-Fu, Yen, Mao-Hsu, Verlaan, Jorrit-Jan, Schwab, Joseph H., Wang, Chen-Ti, Groot, Olivier Q., Hu, Ming-Hsiao, Chiang, Hongsen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320986/
https://www.ncbi.nlm.nih.gov/pubmed/37408033
http://dx.doi.org/10.1186/s12891-023-06667-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320986/
https://www.ncbi.nlm.nih.gov/pubmed/37408033
http://dx.doi.org/10.1186/s12891-023-06667-5

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