Machine Learning Algorithm to Predict Atrial Fibrillation Using Serial 12-Lead ECGs Based on Left Atrial Remodeling.

Journal: Journal of the American Heart Association
PMID:

Abstract

BACKGROUND: We hypothesized that analysis of serial ECGs could predict new-onset atrial fibrillation (AF) more accurately than analysis of a single ECG by detecting the subtle cardiac remodeling that occurs immediately before AF occurrence. Our aim in this study was to compare the performance of 2 types of machine learning (ML) algorithms.

Authors

  • Ji-Hoon Choi
    Division of Cardiology, Department of Internal Medicine Konkuk University Medical Center, Konkuk University School of Medicine Seoul Republic of Korea.
  • Sung-Hee Song
    Wellysis Corp. Seoul Republic of Korea.
  • Hongryul Kim
    Wellysis Corp. Seoul Republic of Korea.
  • Jongwoo Kim
    Wellysis Corp. Seoul Republic of Korea.
  • Heesun Park
    Wellysis Corp. Seoul Republic of Korea.
  • JaeHu Jeon
    MediFarmSoft Co. Ltd Seoul Republic of Korea.
  • JoongSik Hong
    MediFarmSoft Co. Ltd Seoul Republic of Korea.
  • Hye Bin Gwag
    Division of Cardiology, Department of Internal Medicine, Samsung Changwon Hospital Sungkyunkwan University School of Medicine Changwon Republic of Korea.
  • Sung Ho Lee
    Division of Cardiology, Department of Internal Medicine, Kangbuk Samsung Hospital Sungkyunkwan University School of Medicine Seoul Republic of Korea.
  • Jaichan Lee
    School of Advanced Materials Science and Engineering Sungkyunkwan University Suwon Republic of Korea.
  • Soo Jin Cho
    Health Promotion Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea.
  • Seung-Jung Park
    Department of Cardiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Young Keun On
    Division of Cardiology, Department of Medicine, Heart Vascular Stroke Institute, Samsung Medical Center Sungkyunkwan University School of Medicine Seoul Republic of Korea.
  • Ju Youn Kim
    Division of Cardiology, Department of Internal Medicine, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Kyoung-Min Park
    Division of Cardiology, Department of Medicine, Heart Vascular Stroke Institute, Samsung Medical Center Sungkyunkwan University School of Medicine Seoul Republic of Korea.