A Roadmap towards Breast Cancer Therapies Supported by Explainable Artificial Intelligence

A Roadmap towards Breast Cancer Therapies Supported by Explainable Artificial Intelligence

In recent years personalized medicine reached an increasing importance, especially in the design of oncological therapies. In particular, the development of patients’ profiling strategies suggests the possibility of promising rewards. In this work, we present an explainable artificial intelligence (...

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Bibliographic Details
Main Authors: Nicola Amoroso, Domenico Pomarico, Annarita Fanizzi, Vittorio Didonna, Francesco Giotta, Daniele La Forgia, Agnese Latorre, Alfonso Monaco, Ester Pantaleo, Nicole Petruzzellis, Pasquale Tamborra, Alfredo Zito, Vito Lorusso, Roberto Bellotti, Raffaella Massafra
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Applied Sciences
Subjects:
relevant features
cluster analysis
molecular subtype
breast cancer
explainable artificial intelligence
Online Access:https://www.mdpi.com/2076-3417/11/11/4881

Internet

https://www.mdpi.com/2076-3417/11/11/4881

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