A novel machine learning-based proposal for early prediction of endometriosis disease

Elena Enamorado-Díaz, Leticia Morales-Trujillo, J. A. García-García, Ana T. Marcos, José M. Navarro‐Pando, María José Escalona, María-José Escalona-Cuaresma
In: Expert Systems with Applications · 2025 · vol. 271 , pp. 126621 · doi:10.1016/j.eswa.2025.126621 · W4406914349
article OA: closed CC0 ⤵ 2 in-corpus citations
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⚙ AI-generated summary by gemini-2.5-flash-lite, 2026-06-10 ⓘ

This paper proposes a novel machine learning model for the early prediction of endometriosis.

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Condition tags

endometriosis

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 (34)

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last seen: 2026-06-10T17:14:06.276822+00:00
License: CC0 · commercial use OK