Using Machine Learning to Predict 30-Day Hospital Readmissions in Patients with Atrial Fibrillation Undergoing Catheter Ablation

Using Machine Learning to Predict 30-Day Hospital Readmissions in Patients with Atrial Fibrillation Undergoing Catheter Ablation

Atrial fibrillation (AF) cases are expected to increase over the next several decades, due to the rise in the elderly population. One promising treatment option for AF is catheter ablation, which is increasing in use. We investigated the hospital readmissions data for AF patients undergoing catheter...

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Bibliographic Details
Main Authors: Man Hung, Evelyn Lauren, Eric Hon, Julie Xu, Bianca Ruiz-Negrón, Megan Rosales, Wei Li, Tanner Barton, Jacob O’Brien, Weicong Su
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Journal of Personalized Medicine
Subjects:
atrial fibrillation
machine learning
artificial intelligence
hospital readmissions
heart
NRD
Online Access:https://www.mdpi.com/2075-4426/10/3/82

Internet

https://www.mdpi.com/2075-4426/10/3/82

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