This paper is in the following e-collection/theme issue:

Longitudinal and Cohort Studies in Public Health (266) Outbreak and Pandemic Preparedness and Management (1678) JMIR Theme Issue: COVID-19 Special Issue (2392) Machine Learning (1393) Artificial Intelligence (1207)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52353, first published .
A Multimorbidity Analysis of Hospitalized Patients With COVID-19 in Northwest Italy: Longitudinal Study Using Evolutionary Machine Learning and Health Administrative Data

A Multimorbidity Analysis of Hospitalized Patients With COVID-19 in Northwest Italy: Longitudinal Study Using Evolutionary Machine Learning and Health Administrative Data

A Multimorbidity Analysis of Hospitalized Patients With COVID-19 in Northwest Italy: Longitudinal Study Using Evolutionary Machine Learning and Health Administrative Data

Authors of this article:

Dayana Benny1, 2 Author Orcid Image ;   Mario Giacobini3 Author Orcid Image ;   Alberto Catalano1, 4 Author Orcid Image ;   Giuseppe Costa1 Author Orcid Image ;   Roberto Gnavi5 Author Orcid Image ;   Fulvio Ricceri1 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.