Associations between persistent organic pollutants and endometriosis: A multipollutant assessment using machine learning algorithms

Komodo Matta, Evelyne Vigneau, Évelyne Vigneau, Véronique Cariou, Delphine Mouret, Stéphane Ploteau, Bruno Le Bizec, Jean‐Philippe Antignac, Jean-Philippe Antignac, Germán Cano-Sancho, German Cano-Sancho
Environmental pollution (Barking, Essex : 1987) · 2020 · vol. 260 , pp. 114066 · doi:10.1016/j.envpol.2020.114066 · PMID:32041029 · W3003638442
article OA: bronze CC0 ⤵ 10 in-corpus citations
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⚙ AI-generated summary by claude@2026-06, 2026-06-09 ⓘ

This study utilized machine learning to assess associations between persistent organic pollutants and endometriosis, identifying specific pollutants linked to the condition.

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Condition tags

endometriosis

MeSH descriptors

Algorithms Endometriosis Environmental Exposure Environmental Pollutants Case-Control Studies Endometriosis Environmental Exposure Female France Humans Machine Learning

Citation neighborhood

Papers in the corpus that this work cites (lower rings, blue) and that cite this one (upper rings, green). Dot size scales with the paper's in-corpus citation count — bigger dot = more influential within the endo/adeno field. Click a dot to open that paper. [ expand to 2 hops ] — adds papers reached through this work's immediate citers/citees. Heavier; up to 60 extra dots.

References (64)

Cited by (10)

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europepmc
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License: CC0 · commercial use OK