An Experimental Study on Applying Supervised Machine Learning Techniques for Identification and Detection of Cardiac Attacks-Reference-Cited by-同舟云学术

An Experimental Study on Applying Supervised Machine Learning Techniques for Identification and Detection of Cardiac Attacks

Published:2022-10-13 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Edge Computing and Applications (ICECAA)
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Author:

Kiran J. Sasi¹,Kavitha J.²,Krishna Vempati³,Divya N.⁴,Babu G. Charles⁵,Rustum Rubeena⁵

Affiliation:

1. Lords Institute of Engineering and Technology (Autonomous),Hyderabad,Telangana

2. BVRIT HYDERABAD College of Engineering for Women,Hyderabad,Telangana

3. Teegala Krishna Reddy College of Engineering and Technology(A),Hyderabad,Telangana

4. G.Narayanamma Institute of Technology and Sscience,Hyderabad,Telangana

5. Gokaraju Rangaraju Institute of Engineering and Technology(Autonomous),Hyderabad,Telangana

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9935819/9936051/09936346.pdf?arnumber=9936346

Reference17 articles.

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2. Heart Disease Classification Using Neural Network and Feature Selection

3. Coronary illness Prediction and Classification Using Machine Learning Algorithms Optimized by Particle Swarm Optimization and Ant Colony Optimization;khourdifi;Intelligent Systems Engineering J,0

4. Predictive model of cardiac arrest in smokers using machine learning technique based on Heart Rate Variability parameter;shashikant;Applied Computing and Informatics,2019

5. Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423604 UK Biobank participants;alaai;PLoS ONE,2019

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