Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)
Atrial fibrillation (AF) affects more than 30 million individuals worldwide, making it the most
prevalent cardiac arrhythmia on a global scale. This systematic review summarizes recent …
prevalent cardiac arrhythmia on a global scale. This systematic review summarizes recent …
[HTML][HTML] A comprehensive review on efficient artificial intelligence models for classification of abnormal cardiac rhythms using electrocardiograms
Deep learning has made many advances in data classification using electrocardiogram
(ECG) waveforms. Over the past decade, data science research has focused on developing …
(ECG) waveforms. Over the past decade, data science research has focused on developing …
Employing Cloud-Integrated Neural Network for Prediction of Heart Disease Using Advanced Telemedicine Solutions
SS Basavaraddi, AS Raju - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Globally, cardiovascular disorders, including Atrial Fibrillation (AF), are a major health issue.
Telemedicine and cloud-based neural networks are used to improve heart disease …
Telemedicine and cloud-based neural networks are used to improve heart disease …