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Current state of artificial intelligence-based algorithms for hospital admission prediction in patients with heart failure: a scoping review.
Croon, P M; Selder, J L; Allaart, C P; Bleijendaal, H; Chamuleau, S A J; Hofstra, L; Isgum, I; Ziesemer, K A; Winter, M M.
Afiliação
  • Croon PM; Heart Center, Department of Clinical and Experimental Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Selder JL; Heart Center, Department of Clinical and Experimental Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Allaart CP; Heart Center, Department of Clinical and Experimental Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Bleijendaal H; Heart Center, Department of Clinical and Experimental Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Chamuleau SAJ; Department of Clinical Epidemiology, Biostatistics & Bioinformatics, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
  • Hofstra L; Heart Center, Department of Clinical and Experimental Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Isgum I; Heart Center, Department of Clinical and Experimental Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Ziesemer KA; Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers-location AMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Winter MM; Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers - Location AMC, University of Amsterdam, Amsterdam, The Netherlands.
Eur Heart J Digit Health ; 3(3): 415-425, 2022 Sep.
Article em En | MEDLINE | ID: mdl-36712159
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies / Systematic_reviews Idioma: En Revista: Eur Heart J Digit Health Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Holanda
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies / Systematic_reviews Idioma: En Revista: Eur Heart J Digit Health Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Holanda