This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2391) Artificial Intelligence (1197) Machine Learning (1384) Clinical Information and Decision Making (1328) Infectious Diseases (non-STD/STI) (1485) Outbreak and Pandemic Preparedness and Management (1675) Decision Support for Health Professionals (1137)

Published on in Vol 23, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://www.medrxiv.org/content/10.1101/2021.03.16.21253752v1, first published .
A Machine Learning Approach for Mortality Prediction in COVID-19 Pneumonia: Development and Evaluation of the Piacenza Score

A Machine Learning Approach for Mortality Prediction in COVID-19 Pneumonia: Development and Evaluation of the Piacenza Score

A Machine Learning Approach for Mortality Prediction in COVID-19 Pneumonia: Development and Evaluation of the Piacenza Score

Authors of this article:

Geza Halasz1 Author Orcid Image ;   Michela Sperti2 Author Orcid Image ;   Matteo Villani3 Author Orcid Image ;   Umberto Michelucci4 Author Orcid Image ;   Piergiuseppe Agostoni5 Author Orcid Image ;   Andrea Biagi1 Author Orcid Image ;   Luca Rossi1 Author Orcid Image ;   Andrea Botti6 Author Orcid Image ;   Chiara Mari6 Author Orcid Image ;   Marco Maccarini7 Author Orcid Image ;   Filippo Pura7 Author Orcid Image ;   Loris Roveda7 Author Orcid Image ;   Alessia Nardecchia8 Author Orcid Image ;   Emanuele Mottola9 Author Orcid Image ;   Massimo Nolli3 Author Orcid Image ;   Elisabetta Salvioni5 Author Orcid Image ;   Massimo Mapelli5 Author Orcid Image ;   Marco Agostino Deriu2 Author Orcid Image ;   Dario Piga7 Author Orcid Image ;   Massimo Piepoli1 Author Orcid Image
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