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

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, Italy

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

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

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

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

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

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

8 Istituto Istruzione Superiore, Casalpusterlengo, Italy

9 7HC SRL, Rome, Italy

*these authors contributed equally

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