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

Langsetmo, Lisa; Schousboe, John T; Taylor, Brent C; Cauley, Jane A; Fink, Howard A; Cawthon, Peggy M; Kado, Deborah M; Ensrud, Kristine E

Langsetmo, Lisa; Schousboe, John T; Taylor, Brent C; Cauley, Jane A; Fink, Howard A; Cawthon, Peggy M; Kado, Deborah M; Ensrud, Kristine E.

Afiliación

Langsetmo L; Center for Care Delivery and Outcomes Research, VA Health Care System Minneapolis MN USA.
Schousboe JT; Department of Medicine University of Minnesota Minneapolis MN USA.
Taylor BC; Rheumatology Research HealthPartners Institute Bloomington MN USA.
Cauley JA; Division of Health Policy & Management, School of Public Health University of Minnesota Minneapolis MN USA.
Fink HA; Center for Care Delivery and Outcomes Research, VA Health Care System Minneapolis MN USA.
Cawthon PM; Department of Medicine University of Minnesota Minneapolis MN USA.
Kado DM; Division of Epidemiology & Community Health, School of Public Health University of Minnesota Minneapolis MN USA.
Ensrud KE; Department of Epidemiology, School of Public Health University of Pittsburgh Pittsburgh PA USA.

JBMR Plus ; 7(8): e10757, 2023 Aug.

Article en En | MEDLINE | ID: mdl-37614297

Palabras clave

HIP FRACTURE; MACHINE LEARNING; RANDOM FOREST

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Clinical_trials / Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: JBMR Plus Año: 2023 Tipo del documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google