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