Prediction of heart disease using machine learning and hybrid methods-Reference-Cited by-同舟云学术

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Prediction of heart disease using machine learning and hybrid methods

Published:2023-12-07 Issue: Volume:2790 Page:1-6
ISSN:
Container-title:2023 1st International Conference on Optimization Techniques for Learning (ICOTL)
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Author:

Venkatesh D¹,Saravanan T¹,Raghavaraju D²,Bhaskar M Vijaya²,Vasundra S³

Affiliation:

1. GITAM (Deemed to be University),GITAM School of Technology,Dept. of CSE,Bengaluru,India

2. Sri Venkateswara Institute of Technology,Dept. of CSE,Ananthapuramu,India

3. Constituent College of Jawaharlal Nehru Technological University Anantapur,Dept. of CSE,Ananthapuramu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10434936/10434955/10435033.pdf?arnumber=10435033

Reference16 articles.

1. Prediction of Heart Disease using Machine Learning Algorithms

2. An effective convolutional neural network-based stacked long short-term memory approach for automated Alzheimer’s disease prediction

3. Hybrid optimization enabled deep learning-based ensemble classification for heart disease detection

4. An effective healthcare monitoring system in an IoMT environment for heart disease detection using the HANN model;PR;Computer Methods in Biomechanics and Biomedical Engineering,2023

5. Predicting Consumer Intention using Logistic regression by analyzing Social media data

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