Machine Learning for Predicting Postoperative Atrial Fibrillation After Cardiac Surgery: A Scoping Review of Current Literature

AH El-Sherbini, A Shah, R Cheng, A Elsebaie… - The American Journal of …, 2023 - Elsevier
Postoperative atrial fibrillation (POAF) occurs in up to 20% to 55% of patients who
underwent cardiac surgery. Machine learning (ML) has been increasingly employed in …

Machine learning models of postoperative atrial fibrillation prediction after cardiac surgery

Y Lu, Q Chen, H Zhang, M Huang, Y Yao… - … of Cardiothoracic and …, 2023 - Elsevier
Objectives This study aimed to use machine learning algorithms to build an efficient
forecasting model of atrial fibrillation after cardiac surgery, and to compare the predictive …

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

AR Oh, J Park, SJ Shin, B Choi, JH Lee, K Yang… - Frontiers in …, 2023 - frontiersin.org
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 …

[HTML][HTML] Machine learning to identify patients at risk of developing new-onset atrial fibrillation after coronary artery bypass

O Parise, G Parise, A Vaidyanathan… - Journal of …, 2023 - mdpi.com
Background: This study aims to get an effective machine learning (ML) prediction model of
new-onset postoperative atrial fibrillation (POAF) following coronary artery bypass grafting …

Predicting atrial fibrillation after cardiac surgery: a scoping review of associated factors and systematic review of existing prediction models

H Fleet, D Pilcher, R Bellomo, TG Coulson - Perfusion, 2023 - journals.sagepub.com
Introduction: Postoperative atrial fibrillation (POAF) is common after cardiac surgery and
associated with increased hospital length of stay, patient morbidity and mortality. We aimed …

[HTML][HTML] Internal Validation of a Risk Score for Prediction of Postoperative Atrial Fibrillation after Cardiac Surgery

RM Ronsoni, TLL Leiria, LM Pires, ML Kruse… - International Journal of …, 2019 - SciELO Brasil
Background: Postoperative atrial fibrillation (POAF) after cardiac surgery has great clinical
and economic implications. Many attempts have been made to identify risk factors aiming at …

[HTML][HTML] Prediction of new onset postoperative atrial fibrillation using a simple nomogram

S Zhu, H Che, Y Fan, S Jiang - Journal of Cardiothoracic Surgery, 2023 - Springer
Background New onset postoperative atrial fibrillation (POAF) is the most common
complication of cardiac surgery, with an incidence ranging from 15 to 50%. This study aimed …

Machine learning outperforms existing clinical scoring tools in the prediction of postoperative atrial fibrillation during intensive care unit admission after cardiac surgery

R Karri, A Kawai, YJ Thong, DM Ramson… - Heart, Lung and …, 2021 - Elsevier
Objective (s) Using the Medical Information Mart for Intensive Care III (MIMIC-III) database,
we compared the performance of machine learning (ML) to the to the established gold …

Risk scores for prediction of postoperative atrial fibrillation after cardiac surgery: a systematic review and meta-analysis

A Pandey, I Okaj, S Ichhpuniani, B Tao, H Kaur… - The American Journal of …, 2023 - Elsevier
Postoperative atrial fibrillation (POAF) is a common complication after cardiac surgery and is
associated with poor clinical outcomes. The objective of this systematic review and meta …

Predicting atrial fibrillation after cardiac surgery using a simplified risk index

A Alshareef, TMA Al-Ahdal, PTT Anh, S Zia… - Journal of …, 2021 - Elsevier
Background Postoperative atrial fibrillation (POAF) is a common complication after cardiac
surgery and can lead to increased risk of postoperative adverse events. However, atrial …