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A Machine Learning–Based Clustering Analysis to Explore Bisphenol A and Phthalate Exposure from Medical Devices in Infants with Congenital Heart Defects

Environmental Health Perspectives(2025)10.1289/ehp15034Source: DataRank Database

A Machine Learning–Based Clustering Analysis to Explore Bisphenol A and Phthalate Exposure from Medical Devices in Infants with Congenital Heart Defects is a research paper published in Environmental Health Perspectives (2025). On theSindex it has a DataRank of 0. It has been cited 7 times.

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Open Access7 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (1 grants)OA: goldTopics (31)IDs (PubMed, PMC)

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Authors (8)

J. William Gaynor ORCID,Eric M. Graham,Brenna Klepczynski,Tia Walker,Eric S. Coker ORCID

Live enrichment

PubMed:40338266 PMC:PMC12176096

National Institutes of Health

Grant: 3UL1TR001878-06S1

Institutional Clinical and Translational Science Award

goldLicense: public-domain

publisherhttps://ehp.niehs.nih.gov/doi/pdf/10.1289/EHP15034?download=true

publisherhttps://ehp.niehs.nih.gov/doi/pdf/10.1289/EHP15034

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12176096

Europe_PMChttps://europepmc.org/articles/PMC12176096

Europe_PMChttps://europepmc.org/articles/PMC12176096?pdf=render

MeSH Terms

HumansHeart Defects, CongenitalPhthalic AcidsBenzhydryl CompoundsPhenolsEnvironmental PollutantsCluster AnalysisEquipment and SuppliesEnvironmental ExposureInfantInfant, NewbornFemaleMaleMachine LearningBisphenol A Compounds

Keywords

Heart Defects, CongenitalMaleResearchPhthalic AcidsInfant, NewbornInfantEnvironmental ExposureMachine LearningPhenolsEquipment and SuppliesHumansCluster AnalysisFemaleEnvironmental PollutantsBisphenol A CompoundsBenzhydryl Compounds