An explainable machine learning ensemble model to predict the risk of ovarian cancer in BRCA-mutated patients undergoing risk-reducing salpingo-oophorectomy

An explainable machine learning ensemble model to predict the risk of ovarian cancer in BRCA-mutated patients undergoing risk-reducing salpingo-oophorectomy

IntroductionIt has been estimated that 19,880 new cases of ovarian cancer had been diagnosed in 2022. Most epithelial ovarian cancer are sporadic, while in 15%–25% of cases, there is evidence of a familial or inherited component. Approximately 20%–25% of high-grade serous carcinoma cases are caused...

Full description

Bibliographic Details
Main Authors: Maria Colomba Comes, Francesca Arezzo, Gennaro Cormio, Samantha Bove, Angela Calabrese, Annarita Fanizzi, Anila Kardhashi, Daniele La Forgia, Francesco Legge, Isabella Romagno, Vera Loizzi, Raffaella Massafra
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Oncology
Subjects:
ovarian cancer
BRCA-mutation
risk-reducing salpingo-oophorectomy
machine learning
early identification
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1181792/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1181792/full

Similar Items