A logistic model for the prediction of endometriosis
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⤵ 9 in-corpus citations
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This paper presents a logistic regression model developed to predict the likelihood of endometriosis based on various patient factors.
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References (23)
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Cited by (9)
- A new validated screening method for endometriosis diagnosis based on patient questionnaires 2022
- Clinical use of artificial intelligence in endometriosis: a scoping review 2022
- Imaging modalities for the non-invasive diagnosis of endometriosis 2016
- Serum interleukin-8, CA-125 levels, neutrophil to lymphocyte ratios and combined markers in the diagnosis of endometriosis 2013
- Serum biomarker profiles of interleukin-6, tumor necrosis factor alpha, matrix-metalloproteinase-2, and vascular endothelial growth factor in endometriosis staging 2013
- Reliability of Visual Diagnosis of Endometriosis 2013
- Neuroendocrine Aspects of Endometriosis‐Associated Pain 2011
- Relating Pelvic Pain Location to Surgical Findings of Endometriosis 2011
- Chronic pelvic pain and endometriosis: translational evidence of the relationship and implications 2010
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
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