Genetic fuzzy logic based system for arrhythmia classification-Reference-Cited by-同舟云学术

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Genetic fuzzy logic based system for arrhythmia classification

Published:2020 Issue: Volume: Page:105-127
ISSN:
Container-title:Control Theory in Biomedical Engineering
language:
Short-container-title:

Author:

Lassoued Hela,Ketata Raouf

Publisher

Elsevier

Reference40 articles.

1. Diseases diagnosis using fuzzy logic methods: a systematic and meta-analysis review;Ahmadi;Comput. Methods Programs Biomed.,2018

2. Machine learning and its applications: a review;Angra,2017

3. Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm;Arabasadi;Comput. Methods Programs Biomed.,2017

4. Deep learning and medical diagnosis: a review of literature;Bakator;Multimodal Technol. Interact.,2018

5. Risk of cardiovascular comorbidity in patients with chronic obstructive pulmonary disease: a systematic review and meta-analysis;Chen;Lancet Respir. Med.,2015

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cardiac Arrhythmia Classification using Deep Convolutional Neural Network and Fuzzy Inference System;2022 International Conference on Artificial Intelligence of Things (ICAIoT);2022-12-29

2. Genetic-Fuzzy Hybrid Approach for Arrhythmia Classification;2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET);2022-03-22

3. Optimal Neuro Fuzzy Classification for Arrhythmia Data Driven System;International Journal of Innovative Technology and Exploring Engineering;2021-11-30

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