A logistic model for the prediction of endometriosis

article OA: closed CC0 ⤵ 9 in-corpus citations
AI-generated summary by claude@2026-06, 2026-06-08

This paper presents a logistic regression model developed to predict the likelihood of endometriosis based on various patient factors.

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Condition tags

endometriosis

MeSH descriptors

Endometriosis Adolescent Adult Biopsy Diagnostic Errors Diagnostic Errors Endometriosis Endometriosis Female Humans Logistic Models Middle Aged Predictive Value of Tests Probability Sensitivity and Specificity Surveys and Questionnaires Young Adult

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 (23)

Cited by (9)

Source provenance

europepmc
last seen: 2026-06-11T06:19:48.454388+00:00
openalex
last seen: 2026-06-10T17:14:06.276822+00:00
pubmed
last seen: 2026-05-13T22:14:36.758325+00:00
unpaywall
last seen: 2026-06-05T02:00:03.366016+00:00
License: CC0 · commercial use OK