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...

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Detalles Bibliográficos
Autores principales: Parise, Orlando, Parise, Gianmarco, Vaidyanathan, Akshayaa, Occhipinti, Mariaelena, Gharaviri, Ali, Tetta, Cecilia, Bidar, Elham, Maesen, Bart, Maessen, Jos G., La Meir, Mark, Gelsomino, Sandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9962068/
https://www.ncbi.nlm.nih.gov/pubmed/36826578
http://dx.doi.org/10.3390/jcdd10020082

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