Document Type
Article
Publication Title
Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning
Abstract
The purpose of this chapter is to illustrate how artificial intelligence (AI) technologies have been used for COVID-19 detection and analysis. Specifically, the use of neural networks (NN) and machine learning (ML) are described along with which countries are creating these techniques and how these are being used for COVID-19 diagnosis and detection. Illustrations of multi-layer convolutional neural networks (CNN), recurrent neural networks (RNN), and deep neural networks (DNN) are provided to show how these are used for COVID-19 detection and prediction. A summary of big data analytics for COVID-19 and some available COVID-19 open-source data sets and repositories and their characteristics for research and analysis are also provided. An example is also shown for artificial intelligence (AI) and neural network (NN) applications using real-time COVID-19 data.
First Page
30
Last Page
57
DOI
10.4018/978-1-7998-8455-2.ch002
Publication Date
2022
ISBN
9781799884552
Recommended Citation
Segall, Richard S., "Survey of Applications of Neural Networks and Machine Learning to COVID-19 Predictions" (2022). Faculty Publications. 23.
https://arch.astate.edu/busn-isba-facpub/23
