Machine Learning Approaches to the Prediction of Osteoarthritis Phenotypes and Outcomes.

Arbeeva, Liubov; Minnig, Mary C; Yates, Katherine A; Nelson, Amanda E

Arbeeva, Liubov; Minnig, Mary C; Yates, Katherine A; Nelson, Amanda E.

Afiliación

Arbeeva L; Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, 3300 Doc J. Thurston Bldg, Campus Box #7280, Chapel Hill, NC, 27599-7280, USA.
Minnig MC; Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Yates KA; Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, 3300 Doc J. Thurston Bldg, Campus Box #7280, Chapel Hill, NC, 27599-7280, USA.
Nelson AE; Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Curr Rheumatol Rep ; 25(11): 213-225, 2023 Nov.

Article en En | MEDLINE | ID: mdl-37561315

Palabras clave

Artificial intelligence; Machine learning; Osteoarthritis; Precision medicine

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Curr Rheumatol Rep Asunto de la revista: REUMATOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

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