Comparing machine learning algorithms for multimorbidity prediction: An example from the Elsa-Brasil study

• Daniela Polessa Paula ,

  Roles Conceptualization, Formal analysis, Methodology, Validation, Writing – original draft, Writing – review & editing

  * E-mail: danielapopaula@hotmail.com, elsa@fiocruz.br

  Affiliation National School of Statistical Sciences, Brazilian Institute of Geography and Statistics, Rio de Janeiro, Brazil

  https://orcid.org/0000-0002-0576-7361

  ⨯
• Odaleia Barbosa Aguiar,

  Roles Conceptualization, Methodology, Supervision, Writing – review & editing

  Affiliation Institute of Nutrition, University of the Rio de Janeiro State, Rio de Janeiro, Brazil

  ⨯
• Larissa Pruner Marques,

  Roles Conceptualization, Validation, Writing – review & editing

  Affiliation National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, Rio de Janeiro, Brazil

  ⨯
• Isabela Bensenor,

  Roles Conceptualization, Supervision, Writing – review & editing

  Affiliation Department of Internal Medicine, Faculdade de Medicina da Universidade de São Paulo & Hospital Universitário, Universidade de São Paulo, São Paulo, Brazil

  ⨯
• Claudia Kimie Suemoto,

  Roles Conceptualization, Supervision, Writing – review & editing

  Affiliation Division of Geriatrics, Department of Clinical Medicine, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil

  ⨯
• Maria de Jesus Mendes da Fonseca,

  Roles Conceptualization, Supervision, Writing – review & editing

  Affiliation Department of Epidemiology, National School of Public Health (ENSP/Fiocruz), Rio de Janeiro, Brazil

  ⨯
• Rosane Härter Griep

  Roles Conceptualization, Supervision, Writing – review & editing

  Affiliation Health and Environmental Education Laboratory, Oswaldo Cruz Institute (IOC), Rio de Janeiro, Brazil

  https://orcid.org/0000-0002-6250-2036

  ⨯