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

Geza Halasz 1*, MD;  Michela Sperti 2*, PhD;  Matteo Villani 3, MD;  Umberto Michelucci 4, PhD;  Piergiuseppe Agostoni 5, MD;  Andrea Biagi 1, MD;  Luca Rossi 1, MD;  Andrea Botti 6, MD;  Chiara Mari 6, MD;  Marco Maccarini 7, MSc;  Filippo Pura 7, MSc;  Loris Roveda 7, MSc;  Alessia Nardecchia 8, PhD;  Emanuele Mottola 9, BA;  Massimo Nolli 3, MD;  Elisabetta Salvioni 5, MD;  Massimo Mapelli 5, MD;  Marco Agostino Deriu 2, PhD;  Dario Piga 7, PhD;  Massimo Piepoli 1, MD, PhD

1 Department of Cardiology, Guglielmo Da Saliceto Hospital , Piacenza , IT

2 PolitoBIOMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Torino , IT

3 Anesthesiology and ICU Department, Guglielmo da Saliceto Hospital , Piacenza , IT

4 TOELT LLC - AI Research and Development , Dubendorf , CH

5 Department of Clinical Sciences and Community Health, Centro Cardiologico Monzino, Istituto di Ricovero e Cura a Carattere Scientifico, Milano , IT

6 Department of Clinical and Experimental Medicine, University of Parma , Parma , IT

7 Dalle Molle Institute for Artificial Intelligence, Università della Svizzera italiana/Scuola universitaria professionale della Svizzera italiana , Lugano , CH

8 Istituto Istruzione Superiore , Casalpusterlengo , IT

9 7HC SRL , Rome , IT

*these authors contributed equally

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