Predicting outcomes in the Machine Learning era: The Piacenza score a purely data driven approach for mortality prediction in COVID-19 Pneumonia

J Med Internet Res

18 Maggio Mag 2021 one month ago
  • Agostoni P, Salvioni E, Mapelli M

Several models have been developed to predict mortality in patients with COVID-19 pneumonia, but only few have demonstrated enough discriminatory capacity. Machine-learning algorithms represent a novel approach for data-driven prediction of clinical outcomes with advantages over statistical modelling. Objective of this study was to develop the Piacenza score, a Machine-learning based score, for 30-day mortality prediction in patients with COVID-19 pneumonia.

Reference

Halasz G, Sperti M, Villani M, Michelucci U, Agostoni P, Biagi A, Rossi L, Botti A, Mari C, Maccarini M, Pura F, Roveda L, Nardecchia A, Mottola E, Nolli M, Salvioni E, Mapelli M, Deriu MA, Piga D, Piepoli M. Predicting outcomes in the Machine Learning era: The Piacenza score a purely data driven approach for mortality prediction in COVID-19 Pneumonia. J Med Internet Res 2021 May 16. doi: 10.2196/29058

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