Detection of heart disease employing Recurrent CONVoluted neural networks (Rec-CONVnet) for effectual classification process in smart medical application-Reference-Cited by-同舟云学术

Detection of heart disease employing Recurrent CONVoluted neural networks (Rec-CONVnet) for effectual classification process in smart medical application

Published:2022-02-11 Issue: Volume: Page:
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Container-title:2021 4th International Conference on Recent Trends in Computer Science and Technology (ICRTCST)
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Author:

Mishra Jyoti¹,Tiwari Mahendra¹,Singh Sanjay T.²,Goswami Sanjay³

Affiliation:

1. University of Allahabad,Department of Electronics and Communication,Prayagraj,U.P,India

2. University of Agriculture, Technology and Sciences,Department of Computer Science and IT Sam Higginbottom,Prayagraj,U.P,India

3. United College of Engineering and Research,Prayagraj,U.P,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9781837/9781820/09782009.pdf?arnumber=9782009

Reference23 articles.

1. A novel three-tier Internet of Things architecture with machine learning algorithm for early detection of heart diseases

2. A Novel Sentiments Analysis Model Using Perceptron Classifier

3. A novel group decision making model based on neutrosophic sets for heart disease diagnosis;abdel-basset;Multimedia Tools and Applications,2019

4. A novel three-tier Internet of Things architecture with machine learning algorithm for early detection of heart diseases

5. BLOOD SUGAR DETECTION USING DIFFERENT MACHINE LEARNING TECHNIQUES

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