Explainable machine learning for predicting recurrence-free survival in endometrial carcinosarcoma patients

Explainable machine learning for predicting recurrence-free survival in endometrial carcinosarcoma patients

ObjectivesEndometrial carcinosarcoma is a rare, aggressive high-grade endometrial cancer, accounting for about 5% of all uterine cancers and 15% of deaths from uterine cancers. The treatment can be complex, and the prognosis is poor. Its increasing incidence underscores the urgent requirement for pe...

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Main Authors: Samantha Bove, Francesca Arezzo, Gennaro Cormio, Erica Silvestris, Alessia Cafforio, Maria Colomba Comes, Annarita Fanizzi, Giuseppe Accogli, Gerardo Cazzato, Giorgio De Nunzio, Brigida Maiorano, Emanuele Naglieri, Andrea Lupo, Elsa Vitale, Vera Loizzi, Raffaella Massafra
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Artificial Intelligence
Subjects:
endometrial carcinosarcoma
recurrence-free survival
machine learning
explainable artificial intelligence
personalized medicine
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2024.1388188/full
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https://www.frontiersin.org/articles/10.3389/frai.2024.1388188/full

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