Unsupervised Binary Classification of Heart Diseases Using an Autoencoder Model with Boosting Algorithm
Author:
Affiliation:
1. Khulna University of Engineering & Technology,Department of Computer Science and Engineering,Khulna,Bangladesh,9203
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10306338/10306339/10306451.pdf?arnumber=10306451
Reference27 articles.
1. Improving the accuracy of prediction of heart disease risk based on ensemble classification techniques;latha;Informatics in Medicine Unlocked,2019
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3. An automatic heart disease prediction using cluster-based bi-directional LSTM (C-BiLSTM) algorithm
4. Heart disease prediction based on pre-trained deep neural networks combined with principal component analysis
5. Heart disease prediction using synthetic minority oversampling technique and soft voting;nazri;2021 International Conference on Automation Control and Mechatronics for Industry 4 0 (ACMI),2021
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