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

BackgroundAtrial fibrillation (AF) is a progressive disease, and its clinical type is classified according to the AF duration: paroxysmal AF, persistent AF (PeAF; AF duration of less than 1 year), and long-standing persistent AF (AF duration of more than 1 year). When conside...

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Main Authors: Satoshi Shimoo, Keitaro Senoo, Taku Okawa, Kohei Kawai, Masahiro Makino, Jun Munakata, Nobunari Tomura, Hibiki Iwakoshi, Tetsuro Nishimura, Hirokazu Shiraishi, Keiji Inoue, Satoaki Matoba
Format: Article
Language:English
Published: JMIR Publications 2024-11-01
Series:JMIR Medical Informatics
Online Access:https://medinform.jmir.org/2024/1/e63795
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https://medinform.jmir.org/2024/1/e63795

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