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

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 patients with e...

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Detalles Bibliográficos
Autores principales: Chao, Xiaopei, Wang, Shu, Lang, Jinghe, Leng, Jinhua, Fan, Qingbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Gynecology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9812095/
https://www.ncbi.nlm.nih.gov/pubmed/36210724
http://dx.doi.org/10.1111/aogs.14462

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9812095/
https://www.ncbi.nlm.nih.gov/pubmed/36210724
http://dx.doi.org/10.1111/aogs.14462

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