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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.
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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  Data: 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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  Data: <searchLink fieldCode="AU" term="%22Torrado+JC%22">Torrado JC</searchLink>; Faculty of Medicine, Department of Global Public Health and Primary Care, Centre for Elderly and Nursing Home Medicine (SEFAS), University of Bergen, Bergen, Norway.<br /><searchLink fieldCode="AU" term="%22Husebo+BS%22">Husebo BS</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Allore+HG%22">Allore HG</searchLink>; Yale School of Medicine and Yale School of Public Health, New Haven, CT, United States of America.<br /><searchLink fieldCode="AU" term="%22Erdal+A%22">Erdal A</searchLink>; Faculty of Medicine, Department of Global Public Health and Primary Care, Centre for Elderly and Nursing Home Medicine (SEFAS), University of Bergen, Bergen, Norway.<br /><searchLink fieldCode="AU" term="%22Fæø+SE%22">Fæø SE</searchLink>; Faculty of Health Studies, Department of Nursing, VID Specialized University, Bergen, Norway.<br /><searchLink fieldCode="AU" term="%22Reithe+H%22">Reithe H</searchLink>; Faculty of Medicine, Department of Global Public Health and Primary Care, Centre for Elderly and Nursing Home Medicine (SEFAS), University of Bergen, Bergen, Norway.<br /><searchLink fieldCode="AU" term="%22Førsund+E%22">Førsund E</searchLink>; Faculty of Medicine, Department of Global Public Health and Primary Care, Centre for Elderly and Nursing Home Medicine (SEFAS), University of Bergen, Bergen, Norway.<br /><searchLink fieldCode="AU" term="%22Tzoulis+C%22">Tzoulis C</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Patrascu+M%22">Patrascu M</searchLink>; Faculty of Medicine, Department of Global Public Health and Primary Care, Centre for Elderly and Nursing Home Medicine (SEFAS), University of Bergen, Bergen, Norway.
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  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2022 Oct 14; Vol. 17 (10), pp. e0275747. <i>Date of Electronic Publication: </i>2022 Oct 14 (<i>Print Publication: </i>2022).
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