Analysis of the Predictors of Mortality from Ischemic Heart Diseases in the Southern Region of Brazil: A Geographic Machine-Learning-Based Study.

Journal: Global heart
PMID: 39619634

Abstract

BACKGROUND: Mortality due to ischemic heart disease (IHD) is heterogeneously distributed globally, and identifying the sites most affected by it is essential in developing strategies to mitigate the impact of the disease, despite the complexity resulting from the great diversity of variables involved.

Authors

  • Amanda de Carvalho Dutra
    Graduation Program in Health Sciences, State University of Maringa, Parana, Brazil.
  • Lincoln Luis Silva
    Graduation Program in Health Sciences, State University of Maringa, Parana, Brazil.
  • Isadora Martins Borba
    Department of Medicine, State University of Maringa, Parana, Brazil.
  • Amanda Gubert Alves Dos Santos
    Department of Clinical Analysis and Biomedicine, State University of Maringa, Parana, Brazil.
  • Diogo Pinetti Marquezoni
    São Paulo State University, São Paulo, Brazil.
  • Matheus Henrique Arruda Beltrame
    Department of Medicine, State University of Maringa, Parana, Brazil.
  • Rogério do Lago Franco
    Graduation Program in Health Sciences, State University of Maringa, Parana, Brazil.
  • Ualid Saleh Hatoum
    Graduation Program in Health Sciences, State University of Maringa, Parana, Brazil.
  • Juliana Harumi Miyoshi
    Graduation Program in pharmaceutical sciences, State University of Maringa, Parana, Brazil.
  • Gustavo Cezar Wagner Leandro
    Graduation Program in Health Sciences, State University of Maringa, Parana, Brazil.
  • Marcos Rogério Bitencourt
    Graduation Program in Health Sciences, State University of Maringa, Parana, Brazil.
  • Oscar Kenji Nihei
    Education, Letters and Health Center, State University of the West of Paraná, Parana, Brazil.
  • João Ricardo Nickenig Vissoci
    Duke University School of Medicine - Durham (NC), United States.
  • Luciano de Andrade
    Department of Medicine, State University of Maringá, Maringá, Paraná, Brazil.. Electronic address: landrade@uem.br.

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