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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	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
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Frontiers Media S.A. 2023-07-01
Sarja:	Frontiers in Oncology
Aiheet:	ovarian cancer BRCA-mutation risk-reducing salpingo-oophorectomy machine learning early identification
Linkit:	https://www.frontiersin.org/articles/10.3389/fonc.2023.1181792/full
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