Hybrid optimized feature selection and deep learning based COVID-19 disease prediction-Reference-Cited by-同舟云学术

Hybrid optimized feature selection and deep learning based COVID-19 disease prediction

Published:2023-04-05 Issue:16 Volume:26 Page:2070-2088
ISSN:1025-5842
Container-title:Computer Methods in Biomechanics and Biomedical Engineering
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering

Author:

John Joseph S.¹,Gandhi Raj R.²

Affiliation:

1. Department of Computer Science and Engineering, Sudharsan Engineering College, Pudukkottai, Tamilnadu, India

2. Department of Electrical and Electronics Engineering, University College of Engineering (BIT Campus), Anna University, Tiruchirappalli, Tamilnadu, India

Publisher

Informa UK Limited

Subject

Computer Science Applications,Human-Computer Interaction,Biomedical Engineering,General Medicine,Bioengineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/10255842.2023.2194476

Reference39 articles.

1. Prediction of COVID-19 confirmed cases combining deep learning methods and Bayesian optimization

2. COVID-19 prediction and detection using deep learning;Alazab M;Int J Comput Inform Syst Indus Manage Appl,2020

3. Effectiveness of COVID-19 diagnosis and management tools: A review

4. Prediction and analysis of COVID-19 positive cases using deep learning models: A descriptive case study of India

5. Bootstrapping method. 2022. https://machinelearningmastery.com/a-gentle-introduction-to-the-bootstrap-method/.

Cited by 1 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. The emotion prediction of college students with attention LSTM during the COVID19 epidemic;Scientific Reports;2023-12-20