[HTML][HTML] A systematic review and Meta-data analysis on the applications of Deep Learning in Electrocardiogram
The success of deep learning over the traditional machine learning techniques in handling
artificial intelligence application tasks such as image processing, computer vision, object …
artificial intelligence application tasks such as image processing, computer vision, object …
[HTML][HTML] Diplin: A Disease Risk Prediction Model Based on EfficientNetV2 and Transfer Learning Applied to Nursing Homes
In the context of population aging, to reduce the run on public medical resources, nursing
homes need to predict the health risks of the elderly periodically. However, there is no …
homes need to predict the health risks of the elderly periodically. However, there is no …
PSO Optimized Hybrid Deep Learning Model for Detection and Localization of Myocardial Infarction
G Sahu, KC Ray - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Myocardial infarction (MI) damages the heart muscles irreversibly and can result in death.
Hence, it is essential to diagnose MI early to save lives. However, traditional detection …
Hence, it is essential to diagnose MI early to save lives. However, traditional detection …
Comparison of Supervised Learning Models for the Prediction of Coronary Artery Disease
H Vasquez-Gonzaga… - 2021 5th International …, 2021 - dl.acm.org
Cardiovascular diseases and Coronary Artery Disease (CAD) are the leading causes of
mortality among people of different ages and conditions. The use of different and not so …
mortality among people of different ages and conditions. The use of different and not so …