How Does the Skeletal Oncology Research Group Algorithm’s Prediction of 5-year Survival in Patients with Chondrosarcoma Perform on International Validation?

The Skeletal Oncology Research Group (SORG) machine learning algorithm for predicting survival in patients with chondrosarcoma was developed using data from the Surveillance, Epidemiology, and End Results (SEER) registry. This algorithm was externally validated on a dataset of patients from the Unit...

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Veröffentlicht in:	Clinical orthopaedics and related research 2020-10, Vol.478 (10), p.2300-2308
Hauptverfasser:	Bongers, Michiel E. R., Karhade, Aditya V., Setola, Elisabetta, Gambarotti, Marco, Groot, Olivier Q., Erdoğan, Kivilcim E., Picci, Piero, Donati, Davide M., Schwab, Joseph H., Palmerini, Emanuela
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Calibration Chondrosarcoma Clinical Research Decision making Electronic medical records Epidemiology Learning algorithms Machine learning Mesenchyme Oncology Patients Population studies Predictions Probability Statistical analysis Surgery Survival Tumors Validation studies
Online-Zugang:	Volltext
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