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Machine learning does not improve upon traditional regression in predicting outcomes in atrial fibrillation: an analysis of the ORBIT-AF and GARFIELD-AF registries.
Loring, Zak; Mehrotra, Suchit; Piccini, Jonathan P; Camm, John; Carlson, David; Fonarow, Gregg C; Fox, Keith A A; Peterson, Eric D; Pieper, Karen; Kakkar, Ajay K.
Afiliação
  • Loring Z; Duke Clinical Research Institute, Durham, NC, USA.
  • Mehrotra S; Division of Cardiology, Department of Medicine, Duke University Medical Center, 2301 Erwin Rd, DUMC 3845, Durham, NC 27710, USA.
  • Piccini JP; Department of Statistics, North Carolina State University, Raleigh, NC, USA.
  • Camm J; Duke Clinical Research Institute, Durham, NC, USA.
  • Carlson D; Division of Cardiology, Department of Medicine, Duke University Medical Center, 2301 Erwin Rd, DUMC 3845, Durham, NC 27710, USA.
  • Fonarow GC; Cardiology Clinical Academic Group, St. George's University of London, London, UK.
  • Fox KAA; Duke Clinical Research Institute, Durham, NC, USA.
  • Peterson ED; Department of Medicine, UCLA Division of Cardiology, Los Angeles, CA, USA.
  • Pieper K; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
  • Kakkar AK; Duke Clinical Research Institute, Durham, NC, USA.
Europace ; 22(11): 1635-1644, 2020 11 01.
Article em En | MEDLINE | ID: mdl-32879969
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fibrilação Atrial / Acidente Vascular Cerebral Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fibrilação Atrial / Acidente Vascular Cerebral Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article