Machine Learning to Identify Patients at Risk of Developing New-Onset Atrial Fibrillation after Coronary Artery Bypass

Machine Learning to Identify Patients at Risk of Developing New-Onset Atrial Fibrillation after Coronary Artery Bypass

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 (CABG) and to highlight the most relevant clinical factors. Methods: Four ML algorithms were employed to analyze 394...

সম্পূর্ণ বিবরণ

গ্রন্থ-পঞ্জীর বিবরন
প্রধান লেখক: Orlando Parise, Gianmarco Parise, Akshayaa Vaidyanathan, Mariaelena Occhipinti, Ali Gharaviri, Cecilia Tetta, Elham Bidar, Bart Maesen, Jos G. Maessen, Mark La Meir, Sandro Gelsomino
বিন্যাস: প্রবন্ধ
ভাষা:English
প্রকাশিত: MDPI AG 2023-02-01
মালা:Journal of Cardiovascular Development and Disease
বিষয়গুলি:
machine learning
artificial intelligence
atrial fibrillation
postoperative CABG
অনলাইন ব্যবহার করুন:https://www.mdpi.com/2308-3425/10/2/82

আন্তর্জাল

https://www.mdpi.com/2308-3425/10/2/82

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