IoT based Detection and Monitoring for Coronary Artery Disease
Author:
Affiliation:
1. Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology,Department of ECE,Chennai,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10406300/10406306/10407838.pdf?arnumber=10407838
Reference10 articles.
1. Predicting Coronary Heart Disease Using an Improved LightGBM Model: Performance Analysis and Comparison
2. Identification of Coronary Culprit Lesion in ST Elevation Myocardial Infarction by Using Deep Learning
3. The Modeling of Magnetic Detection of Iron Oxide Nanoparticles in the Stream of Patient-Specific Artery With Stenotic Lesion: The Effects of Vessel Geometry and Particle Concentration
4. Prototype early warning system for heart disease detection using Android application
5. A Computationally Efficient Approach to Segmentation of the Aorta and Coronary Arteries Using Deep Learning
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1. Design of an iterative method for enhanced early prediction of acute coronary syndrome using XAI analysis;AIMS Bioengineering;2024
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