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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

Crossref DOI link: https://doi.org/10.1007/s11517-021-02467-y

Published Online: 2021-11-25

Published Print: 2022-01

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Kanzler, Christoph M. https://orcid.org/0000-0003-1214-8347
Lamers, Ilse

Feys, Peter

Gassert, Roger

Lambercy, Olivier
Funding

Funding for this research was provided by:

Horizon 2020 Framework Programme (688857 (SoftPro))

Staatssekretariat für Bildung, Forschung und Innovation (15.0283-1)

National Research Foundation Singapore (CREATE)

Swiss Federal Institute of Technology Zurich
License Information

Text and Data Mining valid from 2021-11-25

Version of Record valid from 2021-11-25
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Article History

Received: 31 August 2020

Accepted: 6 November 2021

First Online: 25 November 2021

Declarations

:

: The study was registered at clinicaltrials.gov (NCT02688231) and approved by the responsible Ethical Committees (University of Leuven, Hasselt University, and Mariaziekenhuis Noord-Limburg).

: The authors declare no competing interests.

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