Advantages and Disadvantages of Random Forest Models for Prediction of Hip Fracture Risk Versus Mortality Risk in the Oldest Old

Abstract Targeted fracture prevention strategies among late‐life adults should balance fracture risk versus competing mortality risk. Models have previously been constructed using Fine‐Gray subdistribution methods. We used a machine learning method adapted for competing risk survival time to evaluat...

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Autori principali:	Lisa Langsetmo, John T. Schousboe, Brent C. Taylor, Jane A. Cauley, Howard A. Fink, Peggy M. Cawthon, Deborah M. Kado, Kristine E. Ensrud, for the Osteoporotic Fractures in Men (MrOS) Research Group
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Oxford University Press 2023-08-01
Serie:	JBMR Plus
Soggetti:	HIP FRACTURE MACHINE LEARNING RANDOM FOREST
Accesso online:	https://doi.org/10.1002/jbm4.10757
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