Personalized prediction of rehabilitation outcomes in multiple sclerosis: a proof-of-concept using clinical data, digital health metrics, and machine learning

Predicting upper limb neurorehabilitation outcomes in persons with multiple sclerosis (pwMS) is essential to optimize therapy allocation. Previous research identified population-level predictors through linear models and clinical data. This work explores the feasibility of predicting individual neur...

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Detalles Bibliográficos
Autores principales: Kanzler, Christoph M., Lamers, Ilse, Feys, Peter, Gassert, Roger, Lambercy, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8724183/
https://www.ncbi.nlm.nih.gov/pubmed/34822120
http://dx.doi.org/10.1007/s11517-021-02467-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8724183/
https://www.ncbi.nlm.nih.gov/pubmed/34822120
http://dx.doi.org/10.1007/s11517-021-02467-y

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