Cause-specific mortality prediction in older residents of São Paulo, Brazil: a machine learning approach.

Journal: Age and ageing
Published Date: Sep 11, 2021

Abstract

BACKGROUND: Populational ageing has been increasing in a remarkable rate in developing countries. In this scenario, preventive strategies could help to decrease the burden of higher demands for healthcare services. Machine learning algorithms have been increasingly applied for identifying priority candidates for preventive actions, presenting a better predictive performance than traditional parsimonious models.

Authors

  • Carla Ferreira do Nascimento
    From the Department of Epidemiology, School of Public Health of the University of Sao Paulo, Sao Paulo, SP, Brazil.
  • Hellen Geremias Dos Santos
    From the Department of Epidemiology, School of Public Health of the University of Sao Paulo, Sao Paulo, SP, Brazil.
  • André Filipe de Moraes Batista
    School of Public Health, University of São Paulo, São Paulo, Brazil.
  • Alejandra Andrea Roman Lay
    Faculty of Health Sciences, University of Tarapacá, Arica, Chile.
  • Yeda Aparecida Oliveira Duarte
    School of Nursing, University of São Paulo, São Paulo, Brazil.
  • Alexandre Dias Porto Chiavegatto Filho
    From the Department of Epidemiology, School of Public Health of the University of Sao Paulo, Sao Paulo, SP, Brazil.

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