A Multimorbidity Analysis of Hospitalized Patients With COVID-19 in Northwest Italy: Longitudinal Study Using Evolutionary Machine Learning and Health Administrative Data.
Dayana BennyMario Dante Lucio GiacobiniAlberto CatalanoGiuseppe CostaRoberto GnaviFulvio RicceriPublished in: JMIR public health and surveillance (2024)
When combined with other multimorbidity features, even less prevalent medical conditions show associations with the outcome. This study provides insights beyond COVID-19, demonstrating how repurposed administrative data can be adapted and contribute to enhanced risk assessment for vulnerable populations.