Machine learning-based integrated identification of predictive combined diagnostic biomarkers for endometriosis

Machine learning-based integrated identification of predictive combined diagnostic biomarkers for endometriosis

Background: Endometriosis (EM) is a common gynecological condition in women of reproductive age, with diverse causes and a not yet fully understood pathogenesis. Traditional diagnostics rely on single diagnostic biomarkers and does not integrate a variety of different biomarkers. This study introduc...

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Bibliographic Details
Main Authors: Haolong Zhang, Haoling Zhang, Huadi Yang, Ahmad Naqib Shuid, Doblin Sandai, Xingbei Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Genetics
Subjects:
endometriosis
combined biomarkers
machine learning
predictive
diagnostic
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2023.1290036/full

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https://www.frontiersin.org/articles/10.3389/fgene.2023.1290036/full

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