Classification of COVID -19 Disease Using Genes Expression and Deep Learning Technique

Authors

  • Eman Hamid Hadi, Hussein Attya Lafta, Sura Z. Al_Rashid

DOI:

https://doi.org/10.17762/msea.v71i4.933

Abstract

Coronavirus disease 2019 (COVID-19) has spread very quickly among individuals all over the world. And because of the increasing number of cases every day compared to the small quantities of ready-made tests in hospitals. Therefore, it has become necessary to introduce different systems to detect and diagnose this disease to prevent its spread among people. The purpose of this study is to propose a new method using gene expression and deep learning methods to identify patients with COVID-19. Several preprocessing methods have been applied as a method for feature extraction and identification of genes associated with COVID-19 disease severity. Artificial Neural Networks and Convolutional Neural Networks were applied to the COVID-19 dataset. The highest classification accuracy was (91%) using ANN, and the highest classification accuracy using CNN was (87%).

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Published

2022-09-26

How to Cite

Eman Hamid Hadi, Hussein Attya Lafta, Sura Z. Al_Rashid. (2022). Classification of COVID -19 Disease Using Genes Expression and Deep Learning Technique. Mathematical Statistician and Engineering Applications, 71(4), 3721–3731. https://doi.org/10.17762/msea.v71i4.933

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Section

Articles