Bayesian Networks in the Management of Hospital Admissions: A Comparison between Explainable AI and Black Box AI during the Pandemic

Bayesian Networks in the Management of Hospital Admissions: A Comparison between Explainable AI and Black Box AI during the Pandemic

Artificial Intelligence (AI) and Machine Learning (ML) approaches that could learn from large data sources have been identified as useful tools to support clinicians in their decisional process; AI and ML implementations have had a rapid acceleration during the recent COVID-19 pandemic. However, man...

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Bibliographic Details
Main Authors: Giovanna Nicora, Michele Catalano, Chandra Bortolotto, Marina Francesca Achilli, Gaia Messana, Antonio Lo Tito, Alessio Consonni, Sara Cutti, Federico Comotto, Giulia Maria Stella, Angelo Corsico, Stefano Perlini, Riccardo Bellazzi, Raffaele Bruno, Lorenzo Preda
Format: Article
Language:English
Published: MDPI AG 2024-05-01
Series:Journal of Imaging
Subjects:
artificial intelligence
explainability
machine learning
Random Forest
Bayesian Networks
COVID-19
Online Access:https://www.mdpi.com/2313-433X/10/5/117

Internet

https://www.mdpi.com/2313-433X/10/5/117

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