Prediction model for postoperative atrial fibrillation in non-cardiac surgery using machine learning

Prediction model for postoperative atrial fibrillation in non-cardiac surgery using machine learning

Some patients with postoperative atrial fibrillation (POAF) after non-cardiac surgery need treatment, and a predictive model for these patients is clinically useful. Here, we developed a predictive model for POAF in non-cardiac surgery based on machine learning techniques. In a total of 201,864 pati...

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Bibliographic Details
Main Authors: Ah Ran Oh, Jungchan Park, Seo Jeong Shin, Byungjin Choi, Jong-Hwan Lee, Kwangmo Yang, Ha Yeon Kim, Ji Dong Sung, Seung-Hwa Lee
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Medicine
Subjects:
cardiac event
atrial fibrillation
non-cardiac surgery
machine learning
prediction model
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2022.983330/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2022.983330/full

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