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

JMIR Theme Issue: COVID-19 Special Issue (2088) Artificial Intelligence (665) Machine Learning (1004) Clinical Information and Decision Making (902) Infectious Diseases (non-STD/STI) (1224) Outbreak and Pandemic Preparedness and Management (1454) Decision Support for Health Professionals (736)

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

Preprints (earlier versions) of this paper are available at , 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 Halasz 1 Author Orcid Image ;   Michela Sperti 2 Author Orcid Image ;   Matteo Villani 3 Author Orcid Image ;   Umberto Michelucci 4 Author Orcid Image ;   Piergiuseppe Agostoni 5 Author Orcid Image ;   Andrea Biagi 1 Author Orcid Image ;   Luca Rossi 1 Author Orcid Image ;   Andrea Botti 6 Author Orcid Image ;   Chiara Mari 6 Author Orcid Image ;   Marco Maccarini 7 Author Orcid Image ;   Filippo Pura 7 Author Orcid Image ;   Loris Roveda 7 Author Orcid Image ;   Alessia Nardecchia 8 Author Orcid Image ;   Emanuele Mottola 9 Author Orcid Image ;   Massimo Nolli 3 Author Orcid Image ;   Elisabetta Salvioni 5 Author Orcid Image ;   Massimo Mapelli 5 Author Orcid Image ;   Marco Agostino Deriu 2 Author Orcid Image ;   Dario Piga 7 Author Orcid Image ;   Massimo Piepoli 1 Author Orcid Image
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