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Diagnostic Performance of Machine Learning-Derived OSA Prediction Tools in Large Clinical and Community-Based Samples

CHEST Journal(2021)10.1016/j.chest.2021.10.023Source: DataRank Database

Diagnostic Performance of Machine Learning-Derived OSA Prediction Tools in Large Clinical and Community-Based Samples is a research paper published in CHEST Journal (2021). On theSindex it has a DataRank of 0. It has been cited 41 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access41 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (20 grants)Impact (FWCI 2.65)OA: greenTopics (25)IDs (PubMed, PMC, OpenAlex)Annotations (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 (18)

M. Melanie Lyons ORCID,Brendan T Keenan ORCID,Diego R. Mazzotti ORCID,Jesse Mindel,Greg Maislin ORCID

Live enrichment

PubMed:34717928 PMC:PMC8941600 OpenAlex:https://openalex.org/W3210619311

National Center for Advancing Translational Sciences

Grant: U01HL53916

National Center for Advancing Translational Sciences

Grant: U01HL53931

National Center for Advancing Translational Sciences

Grant: U01HL53934

National Center for Advancing Translational Sciences

Grant: U01HL53937

National Center for Advancing Translational Sciences

Grant: U01HL53938

National Center for Advancing Translational Sciences

Grant: U01HL53940

National Center for Advancing Translational Sciences

Grant: U01HL53941

National Center for Advancing Translational Sciences

Grant: U01HL64360

National Center for Advancing Translational Sciences

Grant: UL1TR001070

American Academy of Sleep Medicine Foundation

Grant: 194-SR-18

National Institutes of Health

Grant: P01 HL094307

National Heart, Lung, and Blood Institute

Grant: 75N92019R0022

National Heart, Lung, and Blood Institute

Grant: R24 HL114473

NHLBI NIH HHS

Grant: U01 HL053941

NHLBI NIH HHS

Grant: U01 HL053931

NHLBI NIH HHS

Grant: U01 HL053934

NHLBI NIH HHS

Grant: U01 HL053938

NHLBI NIH HHS

Grant: U01 HL053916

NHLBI NIH HHS

Grant: U01 HL053937

NHLBI NIH HHS

Grant: U01 HL064360

FWCI

2.65

Citation Percentile

0.9%

Citation Trend

2022

2023

2024

2025

2026

greenLicense: other-oa

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8941600

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8941600

publisherhttps://api.elsevier.com/content/article/PII:S0012369221042483?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0012369221042483?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.chest.2021.10.023

Fields of Study

Obstructive Sleep Apnea ResearchSleep and related disordersCardiovascular and Diving-Related Complications

MeSH Terms

Machine LearningHumansProspective StudiesSurveys and QuestionnairesRetrospective StudiesPolysomnographySleep Apnea, Obstructive

Keywords

Machine learningLogistic regressionArtificial intelligenceRandom forestSupport vector machineReceiver operating characteristicMedicineArtificial neural networkSleep apneaComputer scienceInternal medicinePrediction modelOsaElectronic Medical RecordKernel Support Vector Machine