A Machine Learning Algorithm to Estimate the Probability of a True Scaphoid Fracture After Wrist Trauma

To identify predictors of a true scaphoid fracture among patients with radial wrist pain following acute trauma, train 5 machine learning (ML) algorithms in predicting scaphoid fracture probability, and design a decision rule to initiate advanced imaging in high-risk patients. Two prospective cohort...

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Veröffentlicht in:	The Journal of hand surgery (American ed.) 2022-08, Vol.47 (8), p.709-718
Hauptverfasser:	Bulstra, Anne Eva J., Buijze, Geert A., Cohen, Abigail, Colaris, Joost W., Court-Brown, Charles M., Doornberg, Job N., Duckworth, Andrew D., Goslings, Carel (J.C.), Gray, Alasdair, Hendrickx, Laurent A.M., Jaarsma, Ruurd L., Mallee, Wouter H., Mulders, Marjolein A.M., McQueen, Margaret M., Moran, Matthew, Obdeijn, Miryam C., Kerkhoffs, Gino M.M.J., Ring, David, Schep, Niels W.L., Walenkamp, Monique M.J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithm decision rule fracture machine learning scaphoid
Online-Zugang:	Volltext
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