Machine Learning-Based Diagnosis And Modeling Research in Endometriosis

Yuan Yang, Yi Huang, Yidan Wang, Ruiyun Li
2024 · doi:10.2139/ssrn.4874442 · W4400000737
preprint OA: green CC0
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⚙ AI-generated summary by gemini-2.5-flash-lite, 2026-07-08 ⓘ

This paper explores the application of machine learning techniques for diagnosing endometriosis and understanding its underlying biological mechanisms.

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Condition tags

endometriosis

Citation neighborhood (2-hop)

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. Outer rings show 2-hop neighbours — papers reached through the immediate citers/citees. [ collapse to 1-hop ]

References (53)

Source provenance

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