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ECG-AI: electrocardiographic artificial intelligence model for prediction of heart failure.
Akbilgic, Oguz; Butler, Liam; Karabayir, Ibrahim; Chang, Patricia P; Kitzman, Dalane W; Alonso, Alvaro; Chen, Lin Y; Soliman, Elsayed Z.
Affiliation
  • Akbilgic O; Department of Health Informatics and Data Science, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, 2160 S 1st Street, Maywood, IL 60153, USA.
  • Butler L; Sections on Cardiovascular Medicine and Geriatrics, Department of Internal Medicine, Wake Forest School of Medicine, 475 Vine Street, Winston-Salem, NC 27101, USA.
  • Karabayir I; Department of Health Informatics and Data Science, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, 2160 S 1st Street, Maywood, IL 60153, USA.
  • Chang PP; Department of Health Informatics and Data Science, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, 2160 S 1st Street, Maywood, IL 60153, USA.
  • Kitzman DW; Departmet of Econometrics, Kirklareli University, 3 Kayali Kampüsü Kofçaz, Kirklareli, Turkey, Department of Medicine, Division of Cardiology, University of North Carolina at Chapel Hill, 160 Dental Circle, Chapel Hill, NC 27599, USA.
  • Alonso A; Sections on Cardiovascular Medicine and Geriatrics, Department of Internal Medicine, Wake Forest School of Medicine, 475 Vine Street, Winston-Salem, NC 27101, USA.
  • Chen LY; Sections on Cardiovascular Medicine and Geriatrics, Department of Internal Medicine, Wake Forest School of Medicine, 475 Vine Street, Winston-Salem, NC 27101, USA.
  • Soliman EZ; Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Rd. NE Atlanta, GA, 30322, USA.
Eur Heart J Digit Health ; 2(4): 626-634, 2021 Dec.
Article de En | MEDLINE | ID: mdl-34993487
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies / Risk_factors_studies Langue: En Journal: Eur Heart J Digit Health Année: 2021 Type de document: Article Pays d'affiliation: États-Unis d'Amérique
Texte intégral
Ajouter à My VHL
Imprimer
XML
PubMed Links
Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies / Risk_factors_studies Langue: En Journal: Eur Heart J Digit Health Année: 2021 Type de document: Article Pays d'affiliation: États-Unis d'Amérique