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Development of a Machine Learning-Based Model to Predict Timed-Up-and-Go Test in Older Adults.
Kraus, Moritz; Stumpf, Ulla Cordula; Keppler, Alexander Martin; Neuerburg, Carl; Böcker, Wolfgang; Wackerhage, Henning; Baumbach, Sebastian Felix; Saller, Maximilian Michael.
Afiliación
  • Kraus M; Department of Orthopedics and Trauma Surgery, Musculoskeletal University Center Munich, University Hospital of Ludwig-Maximilians-University (LMU), 81377 Munich, Germany.
  • Stumpf UC; Department of Orthopedics and Trauma Surgery, Musculoskeletal University Center Munich, University Hospital of Ludwig-Maximilians-University (LMU), 81377 Munich, Germany.
  • Keppler AM; Department of Orthopedics and Trauma Surgery, Musculoskeletal University Center Munich, University Hospital of Ludwig-Maximilians-University (LMU), 81377 Munich, Germany.
  • Neuerburg C; Department of Orthopedics and Trauma Surgery, Musculoskeletal University Center Munich, University Hospital of Ludwig-Maximilians-University (LMU), 81377 Munich, Germany.
  • Böcker W; Department of Orthopedics and Trauma Surgery, Musculoskeletal University Center Munich, University Hospital of Ludwig-Maximilians-University (LMU), 81377 Munich, Germany.
  • Wackerhage H; Faculty of Sport and Health Sciences, Technical University of Munich, 80809 Munich, Germany.
  • Baumbach SF; Department of Orthopedics and Trauma Surgery, Musculoskeletal University Center Munich, University Hospital of Ludwig-Maximilians-University (LMU), 81377 Munich, Germany.
  • Saller MM; Department of Orthopedics and Trauma Surgery, Musculoskeletal University Center Munich, University Hospital of Ludwig-Maximilians-University (LMU), 81377 Munich, Germany.
Geriatrics (Basel) ; 8(5)2023 Oct 07.
Article en En | MEDLINE | ID: mdl-37887972
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Geriatrics (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Geriatrics (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Suiza