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Personalized prediction of rehabilitation outcomes in multiple sclerosis: a proof-of-concept using clinical data, digital health metrics, and machine learning.
Kanzler, Christoph M; Lamers, Ilse; Feys, Peter; Gassert, Roger; Lambercy, Olivier.
Afiliación
  • Kanzler CM; Rehabilitation Engineering Laboratory, Institute of Robotics and Intelligent Systems, Department of Health Sciences and Technology, ETH Zürich, BAA C 307.1, Lengghalde 5, 8008, Zürich, Switzerland. christoph.kanzler@hest.ethz.ch.
  • Lamers I; Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence And Technological Enterprise (CREATE), Singapore, Singapore. christoph.kanzler@hest.ethz.ch.
  • Feys P; REVAL, Rehabilitation Research Center, BIOMED, Biomedical Research Institute, Faculty of Medicine and Life SciencesHasselt University, Hasselt, Belgium.
  • Gassert R; Rehabilitation and MS Center, Pelt, Belgium.
  • Lambercy O; REVAL, Rehabilitation Research Center, BIOMED, Biomedical Research Institute, Faculty of Medicine and Life SciencesHasselt University, Hasselt, Belgium.
Med Biol Eng Comput ; 60(1): 249-261, 2022 Jan.
Article en En | MEDLINE | ID: mdl-34822120
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Esclerosis Múltiple Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Med Biol Eng Comput Año: 2022 Tipo del documento: Article País de afiliación: Suiza
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Esclerosis Múltiple Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Med Biol Eng Comput Año: 2022 Tipo del documento: Article País de afiliación: Suiza