On the explainability of hospitalization prediction on a large COVID-19 patient dataset

no code implementations • 28 Oct 2021 • Ivan Girardi, Panagiotis Vagenas, Dario Arcos-Díaz, Lydia Bessaï, Alexander Büsser, Ludovico Furlan, Raffaello Furlan, Mauro Gatti, Andrea Giovannini, Ellen Hoeven, Chiara Marchiori

We develop various AI models to predict hospitalization on a large (over 110$k$) cohort of COVID-19 positive-tested US patients, sourced from March 2020 to February 2021.

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