Classification of Arrhythmia Disease using Machine Learning Techniques-Reference-Cited by-同舟云学术

Classification of Arrhythmia Disease using Machine Learning Techniques

Published:2022-03-29 Issue: Volume: Page:
ISSN:
Container-title:2022 6th International Conference on Computing Methodologies and Communication (ICCMC)
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Author:

Priya V. Vishnu¹,Santhiya M.²,Subadharshini P.³,Vasini S. Pon Miruthu³

Affiliation:

1. Kongu engineering college,Department of Computer Science Engineering,Erode,India

2. Kongu engineering college,Department of Electronics And Instrumentation Engineering,Erode,India

3. Kongu engineering college,Department of Computer Technology,Erode,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9752772/9753686/09753718.pdf?arnumber=9753718

Reference15 articles.

1. Arrhythmia classification using Mahalanobis distance based improved Fuzzy C-Means clustering for mobile health monitoring systems

2. Application of Voter Insertion Algorithm for Fault Management using Triple Modular Redundancy (TMR) Technique

3. Improving convergence speed of the neural network model using Meta heuristic algorithms for weight initialization

4. Diabetes Disease Prediction Using Artificial Neural Network with Machine Learning Approaches;vanitha;2021 5th International Conference on Electronics Communication and Aerospace Technology (ICECA),2021

5. Intrusion detection approach based on optimised artificial neural network

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