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Performance of an open machine learning model to classify sleep/wake from actigraphy across ∼24-hour intervals without knowledge of rest timing

Sleep Health(2023)10.1016/j.sleh.2023.07.001Source: DataRank Database

Performance of an open machine learning model to classify sleep/wake from actigraphy across ∼24-hour intervals without knowledge of rest timing is a research paper published in Sleep Health (2023). On theSindex it has a DataRank of 0. It has been cited 10 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access10 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (22 grants)Impact (FWCI 2.01)OA: hybridTopics (32)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (8)

Margeaux M. Schade,Lindsay Master ORCID,Vasant Honavar ORCID,Nicole G. Nahmod ORCID,Anne‐Marie Chang ORCID

Live enrichment

PubMed:37573208 PMC:PMC11005467 OpenAlex:https://openalex.org/W4385732868

NHLBI NIH HHS

Grant: N01 HC095162

NHLBI NIH HHS

Grant: N01 HC095163

NHLBI NIH HHS

Grant: N01 HC095168

NIA NIH HHS

Grant: U2C AG060408

NCATS NIH HHS

Grant: UL1 TR000040

NHLBI NIH HHS

Grant: HHSN268201500003I

NHLBI NIH HHS

Grant: N01 HC095167

NIA NIH HHS

Grant: R44 AG056250

NHLBI NIH HHS

Grant: N01 HC095159

NHLBI NIH HHS

Grant: N01 HC095164

NHLBI NIH HHS

Grant: N01 HC095165

NHLBI NIH HHS

Grant: N01 HC095169

NHLBI NIH HHS

Grant: R01 HL098433

NCATS NIH HHS

Grant: UL1 TR002014

NHLBI NIH HHS

Grant: N01 HC095161

NHLBI NIH HHS

Grant: R24 HL114473

NIA NIH HHS

Grant: R43 AG056250

NCATS NIH HHS

Grant: UL1 TR001079

NCATS NIH HHS

Grant: UL1 TR001420

NHLBI NIH HHS

Grant: HHSN268201500003C

NHLBI NIH HHS

Grant: N01 HC095160

NHLBI NIH HHS

Grant: N01 HC095166

FWCI

2.01

Citation Percentile

0.9%

Citation Trend

2024

2025

hybridLicense: cc-by

journalhttps://doi.org/10.1016/j.sleh.2023.07.001

HYBRIDhttps://doi.org/10.1016/j.sleh.2023.07.001

publisherhttps://doi.org/10.1016/j.sleh.2023.07.001

publisherhttps://api.elsevier.com/content/article/PII:S2352721823001341?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2352721823001341?httpAccept=text/plain

Fields of Study

Sleep and related disordersObstructive Sleep Apnea ResearchSleep and Wakefulness ResearchMedicineComputer ScienceAdultHumansActigraphySleepPolysomnographyRestAtherosclerosis

MeSH Terms

AdultHumansRestSleepPolysomnographyAtherosclerosisActigraphy

Keywords

ActigraphyComputer scienceArtificial intelligenceClassifier (UML)PolysomnographyMachine learningConvolutional neural networkCircadian rhythmMedicineElectroencephalographyClassification24-HourWearables

Sustainable Development Goals

SDG 0: Quality Education