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Explanatory Analysis of a Machine Learning Model to Identify Hypertrophic Cardiomyopathy Patients from EHR Using Diagnostic Codes

PubMed(2020)10.1109/bibm49941.2020.9313231Source: DataRank Database

Explanatory Analysis of a Machine Learning Model to Identify Hypertrophic Cardiomyopathy Patients from EHR Using Diagnostic Codes is a research paper published in PubMed (2020). On theSindex it has a DataRank of 0. It has been cited 15 times.

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Open Access15 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)OA: greenTopics (26)IDs (PubMed, PMC, OpenAlex)SDGs (2)

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Open Access

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Authors (6)

Divaakar Siva Baala Sundaram,Moein Enayati ORCID,Shivaram P. Arunachalam ORCID,Kalyan S. Pasupathy ORCID,Adelaide M. Arruda‐Olson ORCID

Live enrichment

PubMed:34316386 PMC:PMC8313105 OpenAlex:https://openalex.org/W3128821452

NHLBI NIH HHS

Grant: K01 HL124045

National Institutes of Health

Grant: 5K01HL124045-05

Novel Informatics Approaches for Ascertainment of PAD Status and Adverse Outcomes

National Institutes of Health

greenLicense: IEEE Copyright

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8313105

publisherhttp://xplorestaging.ieee.org/ielx7/9312958/9312977/09313231.pdf?arnumber=9313231

https://doi.org/10.1109/bibm49941.2020.9313231

repositoryhttps://pubmed.ncbi.nlm.nih.gov/34316386

Fields of Study

Cardiomyopathy and Myosin StudiesCardiovascular Function and Risk FactorsCardiovascular Effects of Exercise03 medical and health sciences0302 clinical medicine

Keywords

Hypertrophic cardiomyopathyMedicineDiagnosis codeMachine learningSudden cardiac deathMagnetic resonance imagingMedical recordArtificial intelligenceRandom forestCohortHeart diseaseCardiac magnetic resonanceInternal medicineRadiologyComputer scienceClassificationDecision MakingDiagnostic CodesElectronic Health Records (Ehr)Hypertrophic Cardiomyopathy (Hcm)Billing Code

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Peace, Justice and strong institutions