Personalized prediction of rehabilitation outcomes in multiple sclerosis: a proof-of-concept using clinical data, digital health metrics, and machine learning.
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| Title: | Personalized prediction of rehabilitation outcomes in multiple sclerosis: a proof-of-concept using clinical data, digital health metrics, and machine learning. |
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| Authors: | Kanzler, Christoph M.1,2, christoph.kanzler@hest.ethz.ch, Lamers, Ilse3,4, Feys, Peter3, Gassert, Roger1, Lambercy, Olivier1 |
| Source: | Medical & Biological Engineering & Computing; Jan2022, Vol. 60 Issue 1, p249-261, 13p, 1 Color Photograph, 3 Charts |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 154458083 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11517-021-02467-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 249 Titles: – TitleFull: Personalized prediction of rehabilitation outcomes in multiple sclerosis: a proof-of-concept using clinical data, digital health metrics, and machine learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kanzler, Christoph M. – PersonEntity: Name: NameFull: Lamers, Ilse – PersonEntity: Name: NameFull: Feys, Peter – PersonEntity: Name: NameFull: Gassert, Roger – PersonEntity: Name: NameFull: Lambercy, Olivier IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 01400118 Numbering: – Type: volume Value: 60 – Type: issue Value: 1 Titles: – TitleFull: Medical & Biological Engineering & Computing Type: main |
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