Development and validation of an electrocardiographic artificial intelligence model for detection of peripartum cardiomyopathy.

Abstract

Authors

• Ibrahim Karabayir
  Center for Health Outcomes and Informatics Research, Health Sciences Division, Loyola University Chicago, Maywood, IL; Department of Health Informatics and Data Science, Loyola University Chicago, Chicago, IL; Kirklareli University, Kirklareli, Turkey.
• Gianna Wilkie
  Department of Obstetrics & Gynecology, UMass Chan Medical School, Worcester, MA (Drs Wilkie and Simas).
• Turgay Celik
  Wits Institute of Data Science, University of the Witwatersrand, Johannesburg, South Africa.
• Liam Butler
  Cardiovascular Section, Department of Internal Medicine, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157, USA.
• Lokesh Chinthala
  Department of Pediatrics, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America.
• Alexander Ivanov
  Cardiovascular Imaging Research Center, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston.
• Tiffany A Moore Simas
  Department of Obstetrics & Gynecology, UMass Chan Medical School, Worcester, MA (Drs Wilkie and Simas).
• Robert L Davis
  Center for Biomedical Informatics, Department of Pediatrics, University of Tennessee Health Science Center, Memphis, TN.
• Oguz Akbilgic
  1Department of Pediatrics, University of Tennessee Health Science Center - Oak Ridge National Laboratory- (UTHSC-ORNL), Center for Biomedical Informatics, Memphis, TN USA.

Keywords

External Resources