International Validation of the SORG Machine-learning Algorithm for Predicting the Survival of Patients with Extremity Metastases Undergoing Surgical Treatment

BACKGROUND: The Skeletal Oncology Research Group machine-learning algorithms (SORG-MLAs) estimate 90-day and 1-year survival in patients with long-bone metastases undergoing surgical treatment and have demonstrated good discriminatory ability on internal validation. However, the performance of a pre...

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Detalles Bibliográficos
Autores principales: Tseng, Ting-En, Lee, Chia-Che, Yen, Hung-Kuan, Groot, Olivier Q., Hou, Chun-Han, Lin, Shin-Ying, Bongers, Michiel E. R., Hu, Ming-Hsiao, Karhade, Aditya V., Ko, Jia-Chi, Lai, Yi-Hsiang, Yang, Jing-Jen, Verlaan, Jorrit-Jan, Yang, Rong-Sen, Schwab, Joseph H., Lin, Wei-Hsin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer 2022
Materias:
Clinical Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747677/
https://www.ncbi.nlm.nih.gov/pubmed/34491920
http://dx.doi.org/10.1097/CORR.0000000000001969

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747677/
https://www.ncbi.nlm.nih.gov/pubmed/34491920
http://dx.doi.org/10.1097/CORR.0000000000001969

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