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The framing of time-dependent machine learning models improves risk estimation among young individuals with acute coronary syndromes.
de Carvalho, Luiz Sérgio Fernandes; Alexim, Gustavo; Nogueira, Ana Claudia Cavalcante; Fernandez, Marta Duran; Rezende, Tito Barbosa; Avila, Sandra; Reis, Ricardo Torres Bispo; Soares, Alexandre Anderson Munhoz; Sposito, Andrei Carvalho.
Afiliación
  • de Carvalho LSF; Laboratory of Data for Quality of Care and Outcomes Research (LaDa:QCOR), Catholic University of Brasília, Taguatinga Sul, Brasília, DF, 71966-700, Brazil. luiz.carvalho@p.ucb.br.
  • Alexim G; Aramari Apo Institute for Education and Clinical Research, Brasília, DF, Brazil. luiz.carvalho@p.ucb.br.
  • Nogueira ACC; Clarity Healthcare Intelligence, Jundiaí, SP, Brazil. luiz.carvalho@p.ucb.br.
  • Fernandez MD; Faculty of Medicine, University of Brasília, Brasília, DF, Brazil. luiz.carvalho@p.ucb.br.
  • Rezende TB; Escola Superior de Ciências da Saúde, Brasília, DF, Brazil. luiz.carvalho@p.ucb.br.
  • Avila S; Faculty of Medicine, University of Brasília, Brasília, DF, Brazil.
  • Reis RTB; Escola Superior de Ciências da Saúde, Brasília, DF, Brazil.
  • Soares AAM; Laboratory of Data for Quality of Care and Outcomes Research (LaDa:QCOR), Catholic University of Brasília, Taguatinga Sul, Brasília, DF, 71966-700, Brazil.
  • Sposito AC; Aramari Apo Institute for Education and Clinical Research, Brasília, DF, Brazil.
Sci Rep ; 13(1): 1021, 2023 01 19.
Article en En | MEDLINE | ID: mdl-36658176
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Síndrome Coronario Agudo Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Reino Unido
Texto completo
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Síndrome Coronario Agudo Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Reino Unido