In-hospital Outcomes of Infective Endocarditis from 1978 to 2015: Analysis Through Machine-Learning Techniques.

Journal: CJC open
Published Date: Sep 11, 2021

Abstract

BACKGROUND: Early identification of patients with infective endocarditis (IE) at higher risk for in-hospital mortality is essential to guide management and improve prognosis.

Authors

  • Plinio Resende
    Department of Cardiology/ICES, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
  • Claudio Querido Fortes
    Department of Infectious Diseases, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
  • Emilia Matos do Nascimento
    Department of Statistics/UEZO, State University Center of West Zone, Rio de Janeiro, Brazil.
  • Catarina Sousa
    Faculty of Medicine, University of Lisbon, Lisbon, Portugal.
  • Natalia Rodrigues Querido Fortes
    Clementino Fraga Filho Hospital, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
  • Diego Centenaro Thomaz
    School of Medicine, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
  • Basilio de Bragança Pereira
    Department of Statistics/ICES, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
  • Fausto J Pinto
    Faculty of Medicine, University of Lisbon, Lisbon, Portugal.
  • Glaucia Maria Moraes de Oliveira
    Department of Cardiology/ICES, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.

Keywords

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