A Machine Learning Approach for Detection of Heart Diseases Using Wearable Devices
Author:
Affiliation:
1. Al-Farabi Kazakh National University,Department of Information Systems,Almaty,Kazakhstan
2. Kazakh National Agrarian Research University,Almaty,Kazakhstan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10629221/10629222/10629367.pdf?arnumber=10629367
Reference27 articles.
1. Machine learning framework for Inter-Beat Interval estimation using wearable Photoplethysmography sensors
2. A deep learning approach to cardiovascular disease classification using empirical mode decomposition for ECG feature extraction
3. Evaluation of Machine Learning Methods for Predicting Heart Failure Readmissions: A Comparative Analysis;Shivadekar;International Journal of Intelligent Systems and Applications in Engineering,2024
4. Deep Learning-Enabled Brain Stroke Classification on Computed Tomography營mages
5. Internet of things sensors and support vector machine integrated intelligent irrigation system for agriculture industry
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