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Transfer Learning for Improved Classification of Drivers in Atrial Fibrillation

Computing in cardiology(2023)10.22489/cinc.2023.412Source: DataRank Database

Transfer Learning for Improved Classification of Drivers in Atrial Fibrillation is a research paper published in Computing in cardiology (2023). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 0.00)OA: bronzeTopics (16)IDs (PubMed, PMC, OpenAlex)

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 (9)

Eugene Kwan ORCID,Tolga Taşdizen ORCID,Jake Bergquist ORCID,Matthias Lange ORCID,Benjamin Orkild ORCID

Live enrichment

PubMed:38405161 PMC:PMC10887411 OpenAlex:https://openalex.org/W4390446786

NHLBI NIH HHS

Grant: R01 HL142913

NHLBI NIH HHS

Grant: F31 HL162527

NHLBI NIH HHS

Grant: T32 HL007576

FWCI

0.00

Citation Percentile

0.4%

bronze

journalhttps://doi.org/10.22489/cinc.2023.412

publisherhttps://doi.org/10.22489/cinc.2023.412

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38405161

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10887411

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10887411/pdf/nihms-1966001.pdf

Fields of Study

Atrial Fibrillation Management and OutcomesCardiac electrophysiology and arrhythmiasECG Monitoring and Analysis

Keywords

Computer scienceTransfer of learningArtificial intelligenceAtrial fibrillationResidualClassifier (UML)Machine learningArtificial neural networkFeature extractionUnsupervised learningPattern recognition (psychology)Deep learningStatistical classification