Early prediction of SARS-CoV-2 reproductive number from environmental, atmospheric and mobility data: A supervised machine learning approach. - Pier Francesco Caruso; Giovanni Angelotti; Massimiliano Greco; Giorgio Guzzetta; Danilo Cereda; Stefano Merler; Maurizio Cecconi (Int. J. Medical Informatics, 2022)

Outcome prediction during an ICU surge using a purely data-driven approach: A supervised machine learning case-study in critically ill patients from COVID-19 Lombardy outbreak. - Massimiliano Greco; Giovanni Angelotti; Pier Francesco Caruso; Alberto Zanella; Niccolò Stomeo; Elena Costantini; Alessandro Protti; Antonio Pesenti; Giacomo Grasselli; Maurizio Cecconi (Int. J. Medical Informatics, 2022)

Contribution of clinical course to outcome after traumatic brain injury: mining patient trajectories from European intensive care unit data. - Shubhayu Bhattacharyay; Pier Francesco Caruso; Cecilia Åkerlund; Lindsay Wilson; Robert D. Stevens 002; David K. Menon; Ewout W. Steyerberg; David W. Nelson; Ari Ercole (CoRR, 2023)

Mining the contribution of intensive care clinical course to outcome after traumatic brain injury. - Shubhayu Bhattacharyay; Pier Francesco Caruso; Cecilia Åkerlund; Lindsay Wilson; Robert D. Stevens 002; David K. Menon; Ewout W. Steyerberg; David W. Nelson; Ari Ercole (npj Digit. Medicine, 2023)

Machine Learning for Early Outcome Prediction in Septic Patients in the Emergency Department. - Massimiliano Greco; Pier Francesco Caruso; Sofia Spano; Gianluigi Citterio; Antonio Desai; Alberto Molteni; Romina Aceto; Elena Costantini; Antonio Voza; Maurizio Cecconi (Algorithms, 2023)