Digital phenotyping by wearable-driven artificial intelligence in older adults and people with Parkinson's disease: Protocol of the mixed method, cyclic ActiveAgeing study.
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| Title: | Digital phenotyping by wearable-driven artificial intelligence in older adults and people with Parkinson's disease: Protocol of the mixed method, cyclic ActiveAgeing study. |
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| Authors: | Torrado JC; Faculty of Medicine, Department of Global Public Health and Primary Care, Centre for Elderly and Nursing Home Medicine (SEFAS), University of Bergen, Bergen, Norway., Husebo BS; Faculty of Medicine, Department of Global Public Health and Primary Care, Centre for Elderly and Nursing Home Medicine (SEFAS), University of Bergen, Bergen, Norway.; Department of Nursing Home Medicine, Municipality of Bergen, Bergen, Norway., Allore HG; Yale School of Medicine and Yale School of Public Health, New Haven, CT, United States of America., Erdal A; Faculty of Medicine, Department of Global Public Health and Primary Care, Centre for Elderly and Nursing Home Medicine (SEFAS), University of Bergen, Bergen, Norway., Fæø SE; Faculty of Health Studies, Department of Nursing, VID Specialized University, Bergen, Norway., Reithe H; Faculty of Medicine, Department of Global Public Health and Primary Care, Centre for Elderly and Nursing Home Medicine (SEFAS), University of Bergen, Bergen, Norway., Førsund E; Faculty of Medicine, Department of Global Public Health and Primary Care, Centre for Elderly and Nursing Home Medicine (SEFAS), University of Bergen, Bergen, Norway., Tzoulis C; Department of Neurology, Neuro-SysMed Center, Haukeland University Hospital, Bergen, Norway.; K.G Jebsen Center for Translational Research in Parkinson's Disease, University of Bergen, Bergen, Norway.; Department of Clinical Medicine, University of Bergen, Bergen, Norway., Patrascu M; Faculty of Medicine, Department of Global Public Health and Primary Care, Centre for Elderly and Nursing Home Medicine (SEFAS), University of Bergen, Bergen, Norway. |
| Source: | PloS one [PLoS One] 2022 Oct 14; Vol. 17 (10), pp. e0275747. Date of Electronic Publication: 2022 Oct 14 (Print Publication: 2022). |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S. |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0275747 |
