Heart disease diagnosis using optimized features of hybridized ALCSOGA algorithm and LSTM classifier-Reference-Cited by-同舟云学术

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Heart disease diagnosis using optimized features of hybridized ALCSOGA algorithm and LSTM classifier

Published:2022-04-03 Issue:1-2 Volume:33 Page:95-123
ISSN:0954-898X
Container-title:Network: Computation in Neural Systems
language:en
Short-container-title:Network: Computation in Neural Systems

Author:

Kalaivani K.¹^ORCID,Uma Maheswari N.²,Venkatesh R.³

Affiliation:

1. Sree Vidyanikethan Engineering College, Tirupati

2. Professor, Department of Computer Science and Engineering, P.s.n.a. College of Engineering and Technology, Dindigul, India

3. Professor, Department of Information Technology, Psna College of Engineering and Technology, Dindigul, India

Funder

The author(s) reported there is no funding associated with the work featured in this article

Publisher

Informa UK Limited

Subject

Neuroscience (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/0954898X.2022.2061062

Reference35 articles.

1. Prediction of heart disease and classifiers’ sensitivity analysis

2. Utilizing hybrid functional fuzzy wavelet neural networks with a teaching learning-based optimization algorithm for medical disease diagnosis

3. Feature selection strategy based on hybrid crow search optimization algorithm integrated with chaos theory and fuzzy c-means algorithm for medical diagnosis problems

4. Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm

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1. MLNAS: Meta-learning based neural architecture search for automated generation of deep neural networks for plant disease detection tasks;Network: Computation in Neural Systems;2024-07-12

2. A Meta heuristic based deep learning classifier for effective dengue disease prediction in IoT‐Fog system;Expert Systems;2024-04-21

3. Golden eagle based improved Att-BiLSTM model for big data classification with hybrid feature extraction and feature selection techniques;Network: Computation in Neural Systems;2023-12-28

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