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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

PLoS ONE(2022)10.1371/journal.pone.0275747Source: DataRank Database

Digital phenotyping by wearable-driven artificial intelligence in older adults and people with Parkinson’s disease: Protocol of the mixed method, cyclic ActiveAgeing study is a research paper published in PLoS ONE (2022). On theSindex it has a DataRank of 0. It has been cited 37 times.

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Open Access37 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (7 grants)Impact (FWCI 3.64)OA: goldTopics (50)Linked Datasets (6)DataCite Reuse (6)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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Authors (9)

Bettina S. Husebø ORCID,Heather Allore ORCID,Ane Erdal ORCID,Stein Erik Fæø ORCID,Haakon Reithe

Live enrichment

PubMed:36240173 PMC:PMC9565381 OpenAlex:https://openalex.org/W4306180601

The Research Council of Norway

Grant: 288164

Neuro-SysMed: A Systems Medicine Approach to Restructure Norwegian Clinical Neurology

Bergen Research Foundation

Grant: BFS2017REK05

Western Norway Regional Health Authority

Grant: F-11470

US National Institute on Aging of the National Institutes of Health

Grant: P30AG021342

National Institutes of Health

Grant: 5P30AG021342-13

Information Dissemination Core

University of Bergen

GC Rieber Foundation

FWCI

3.64

Citation Percentile

0.9%

Citation Trend

2022

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0275747&type=printable

publisherhttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0275747&type=printable

publisherhttps://dx.plos.org/10.1371/journal.pone.0275747

journalhttps://doi.org/10.1371/journal.pone.0275747

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36240173

Fields of Study

Parkinson's Disease Mechanisms and TreatmentsBalance, Gait, and Falls PreventionDigital Mental Health Interventions03 medical and health sciences0302 clinical medicineAgedArtificial IntelligenceHumansParkinson DiseaseQuality of LifeREM Sleep Behavior DisorderWearable Electronic Devices

MeSH Terms

Wearable Electronic DevicesAgedArtificial IntelligenceHumansParkinson DiseaseQuality of LifeREM Sleep Behavior Disorder

Keywords

Protocol (science)Wearable computerParkinson's diseaseDiseaseWearable technologyComputer scienceMedicineGerontologyPhysical medicine and rehabilitationEmbedded systemPathologyAlternative medicineartificial Intelligencecaregiversgeriatric depressionScienceagingQ150R610Parkinson DiseaseREM Sleep Behavior DisorderelderlyStudy ProtocolWearable Electronic Devicesheart rateQuality of LifeHumanssleepAged

Sustainable Development Goals

SDG 3: 3. Good health

Additional file 1 of Promotors and barriers to the implementation and adoption of assistive technology and telecare for people with dementia and their caregivers: a systematic review of the literature

10.6084/m9.figshare.26556920.v1figshare

10.6084/m9.figshare.26556920figshare

Additional file 2 of Promotors and barriers to the implementation and adoption of assistive technology and telecare for people with dementia and their caregivers: a systematic review of the literature

10.6084/m9.figshare.26556923.v1figshare

10.6084/m9.figshare.26556923figshare

Additional file 3 of Promotors and barriers to the implementation and adoption of assistive technology and telecare for people with dementia and their caregivers: a systematic review of the literature

10.6084/m9.figshare.26556926.v1figshare

10.6084/m9.figshare.26556926figshare