Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Interpretable Machine Learning Prediction of Drug-Induced QT Prolongation: Electronic Health Record Analysis

Journal of Medical Internet Research(2022)10.2196/42163Source: DataRank Database

Interpretable Machine Learning Prediction of Drug-Induced QT Prolongation: Electronic Health Record Analysis is a research paper published in Journal of Medical Internet Research (2022). On theSindex it has a DataRank of 0. It has been cited 17 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access17 citations

Download PDF

Cite:

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 2.31)OA: goldTopics (34)IDs (PubMed, PMC, OpenAlex)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)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (4)

Katy E. Trinkley ORCID,Daniel C. Malone ORCID,Michael A. Rosenberg ORCID,S. Simon ORCID

Live enrichment

PubMed:36454608 PMC:PMC9756119 OpenAlex:https://openalex.org/W4310526485

NHLBI NIH HHS

Grant: K23 HL161352

NIDDK NIH HHS

Grant: R25 DK123008

NHLBI NIH HHS

Grant: R01 HL146824

FWCI

2.31

Citation Percentile

0.9%

Citation Trend

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://www.jmir.org/2022/12/e42163/PDF

publisherhttps://www.jmir.org/2022/12/e42163/PDF

publisherhttps://www.jmir.org/2022/12/e42163

journalhttps://doi.org/10.2196/42163

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36454608

Fields of Study

Cardiac electrophysiology and arrhythmiasPharmacovigilance and Adverse Drug ReactionsECG Monitoring and AnalysisHumansElectronic Health RecordsMachine LearningLong QT SyndromeElectrocardiographyCluster Analysis

MeSH Terms

Machine LearningElectrocardiographyHumansLong QT SyndromeCluster AnalysisElectronic Health Records

Keywords

InterpretabilityMedicineMachine learningArtificial intelligenceQT intervalDeep learningMedical diagnosisComputer scienceInternal medicinePredictionMonitoringPredictive modelingMLAIriskElectronic Health RecordsEhrDrug-induced Qt ProlongationInterpretable Machine Learning

Sustainable Development Goals

SDG 0: Good health and well-being