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

Longitudinal and Cohort Studies in Public Health (443) Machine Learning (2252) Artificial Intelligence (2377) Outbreak and Pandemic Preparedness and Management (1849) JMIR Theme Issue: COVID-19 Special Issue (2566)

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 (1) Tweetations (1) Metrics

Conference Proceedings

  1. Rozario E, Mahmud F, Moniruzzaman M, Islam M, Ahmed M, Saimon A, Hossin M. 2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET). Optimizing Epidemic Response Through AI-Based Predictions: Machine Learning Approaches to Forecasting and Healthcare Resource Distribution View