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Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease.
van Smeden, Maarten; Heinze, Georg; Van Calster, Ben; Asselbergs, Folkert W; Vardas, Panos E; Bruining, Nico; de Jaegere, Peter; Moore, Jason H; Denaxas, Spiros; Boulesteix, Anne Laure; Moons, Karel G M.
Affiliation
  • van Smeden M; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG Utrecht, The Netherlands.
  • Heinze G; Section for Clinical Biometrics, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
  • Van Calster B; Department of Development and Regeneration, KU Leuven, Leuven, Belgium.
  • Asselbergs FW; EPI Centre, KU Leuven, Leuven, Belgium.
  • Vardas PE; Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, The Netherlands.
  • Bruining N; Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
  • de Jaegere P; Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London, UK.
  • Moore JH; Health Data Research UK and Institute of Health Informatics, University College London, London, UK.
  • Denaxas S; Department of Cardiology, Heraklion University Hospital, Heraklion, Greece.
  • Boulesteix AL; Heart Sector, Hygeia Hospitals Group, Athens, Greece.
  • Moons KGM; Department of Cardiology, Erasmus MC , Thorax Center, Rotterdam, The Netherlands.
Eur Heart J ; 43(31): 2921-2930, 2022 08 14.
Article in En | MEDLINE | ID: mdl-35639667
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Cardiovascular Diseases Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Eur Heart J Year: 2022 Type: Article Affiliation country: Netherlands
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Cardiovascular Diseases Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Eur Heart J Year: 2022 Type: Article Affiliation country: Netherlands