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Developing Validated Tools to Identify Pulmonary Embolism in Electronic Databases: Rationale and Design of the PE-EHR+ Study

Thrombosis and Haemostasis(2023)10.1055/a-2039-3222Source: DataRank Database

Developing Validated Tools to Identify Pulmonary Embolism in Electronic Databases: Rationale and Design of the PE-EHR+ Study is a research paper published in Thrombosis and Haemostasis (2023). On theSindex it has a DataRank of 0. It has been cited 24 times.

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Scored on demand from live citation data

Open Access24 citations

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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 5.52)OA: greenTopics (37)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)

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Authors (24)

Ying-Chih Lo ORCID,Candrika D. Khairani ORCID,Antoine Bejjani ORCID,David Jiménez ORCID,Frederikus A. Klok ORCID

Live enrichment

PubMed:36809777 PMC:PMC11200175 OpenAlex:https://openalex.org/W4321434675

American Heart Association

Grant: #938814

American Heart Association-American Stroke Association

Grant: 938814

NHLBI NIH HHS

Grant: K23 HL150290

FWCI

5.52

Citation Percentile

1.0%

Citation Trend

2023

2024

2025

2026

greenLicense: cc-by-nc-nd

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11200175/pdf/nihms-1998430.pdf

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11200175

journalhttps://doi.org/10.1055/a-2039-3222

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36809777

Fields of Study

Venous Thromboembolism Diagnosis and ManagementAtrial Fibrillation Management and OutcomesImbalanced Data Classification TechniquesHumansReproducibility of ResultsPulmonary EmbolismElectronic Health RecordsPredictive Value of TestsInternational Classification of DiseasesAlgorithms

MeSH Terms

AlgorithmsHumansPredictive Value of TestsPulmonary EmbolismReproducibility of ResultsInternational Classification of DiseasesElectronic Health Records

Keywords

MedicineDiagnosis codeMedical diagnosisPulmonary embolismIdentification (biology)ICD-10Health recordsChartElectronic health recordNatural language processingArtificial intelligenceDatabaseMachine learningData miningComputer sciencePopulationInternal medicinePathologyHealth careStatistics

Sustainable Development Goals

SDG 0: Reduced inequalities