The application of risk models based on machine learning to predict endometriosis‐associated ovarian cancer in patients with endometriosis

Abstract Introduction There is currently no satisfactory model for predicting malignant transformation of endometriosis. The aim of this study was to construct and evaluate a risk model incorporating noninvasive clinical parameters to predict endometriosis‐associated ovarian cancer (EAOC) in patient...

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Hauptverfasser:	Xiaopei Chao, Shu Wang, Jinghe Lang, Jinhua Leng, Qingbo Fan
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Wiley 2022-12-01
Schriftenreihe:	Acta Obstetricia et Gynecologica Scandinavica
Schlagworte:	endometriosis machine learning malignant transformation ovarian cancer risk model
Online-Zugang:	https://doi.org/10.1111/aogs.14462
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