A Clinical Decision Support System for Predicting Invasive Breast Cancer Recurrence: Preliminary Results

A Clinical Decision Support System for Predicting Invasive Breast Cancer Recurrence: Preliminary Results

The mortality associated to breast cancer is in many cases related to metastasization and recurrence. Personalized treatment strategies are critical for the outcomes improvement of BC patients and the Clinical Decision Support Systems can have an important role in medical practice. In this paper, we...

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Bibliographic Details
Main Authors: Raffaella Massafra, Agnese Latorre, Annarita Fanizzi, Roberto Bellotti, Vittorio Didonna, Francesco Giotta, Daniele La Forgia, Annalisa Nardone, Maria Pastena, Cosmo Maurizio Ressa, Lucia Rinaldi, Anna Orsola Maria Russo, Pasquale Tamborra, Sabina Tangaro, Alfredo Zito, Vito Lorusso
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Oncology
Subjects:
invasive breast cancer
cancer recurrence
late recurrence
feature importance
machine learning
prognosis
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.576007/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2021.576007/full

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