Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63795, first published .
Using Machine Learning to Predict the Duration of Atrial Fibrillation: Model Development and Validation

Using Machine Learning to Predict the Duration of Atrial Fibrillation: Model Development and Validation

Using Machine Learning to Predict the Duration of Atrial Fibrillation: Model Development and Validation

Satoshi Shimoo   1 , MD ;   Keitaro Senoo   1, 2 , MD ;   Taku Okawa   1 , MSc ;   Kohei Kawai   2 , MD ;   Masahiro Makino   2 , MD ;   Jun Munakata   2 , MD ;   Nobunari Tomura   2 , MD ;   Hibiki Iwakoshi   2 , MD ;   Tetsuro Nishimura   2 , MD ;   Hirokazu Shiraishi   1, 2 , MD, PhD ;   Keiji Inoue   3 , MD ;   Satoaki Matoba   1, 2 , MD, PhD

1 Department of Cardiac Arrhythmia Research and Innovation, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan

2 Department of Cardiovascular Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan

3 Department of Cardiovascular Medicine, Japanese Red Cross Kyoto Daini Hospital, Kyoto, Japan

Corresponding Author:

  • Keitaro Senoo, MD
  • Department of Cardiac Arrhythmia Research and Innovation
  • Graduate School of Medical Science
  • Kyoto Prefectural University of Medicine
  • Kyoto-shi, Kamigyo-ku Kajii-cho 465
  • Kawaramachi-Hirokoji
  • Kyoto, 602-8566
  • Japan
  • Phone: 81 8031117168
  • Email: k-senoo@koto.kpu-m.ac.jp