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

Longitudinal and Cohort Studies in Public Health (308) Outbreak and Pandemic Preparedness and Management (1726) JMIR Theme Issue: COVID-19 Special Issue (2451) Machine Learning (1463) Artificial Intelligence (1369)

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

Dayana Benny   1, 2 , PhD ;   Mario Giacobini   3 , PhD ;   Alberto Catalano   1, 4 , PhD ;   Giuseppe Costa   1 , MD ;   Roberto Gnavi   5 , MD ;   Fulvio Ricceri   1 , PhD

1 Centre for Biostatistics, Epidemiology, and Public Health, Department of Clinical and Biological Sciences, University of Turin, Turin, Italy

2 Modeling and Data Science, Department of Mathematics, University of Turin, Turin, Italy

3 Data Analysis and Modeling Unit, Department of Veterinary Sciences, University of Turin, Turin, Italy

4 Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy

5 Unit of Epidemiology, Regional Health Service, Local Health Unit Torino 3, Turin, Italy

Corresponding Author:

  • Dayana Benny, PhD
  • Centre for Biostatistics, Epidemiology, and Public Health
  • Department of Clinical and Biological Sciences
  • University of Turin
  • Regione Gonzole 10
  • Orbassano
  • Turin, 10043
  • Italy
  • Phone: 39 0116705440
  • Email: dayana.benny@unito.it