International Journal of Health and Allied Sciences
Artificial intelligence and Machine Learning based Techniques in Analyzing the COVID-19 Gene Expression data: A Review
The novel Coronavirus associated with respiratory illness has become a new threat to human health as it is spreading very rapidly among the human population. Scientists and healthcare specialists throughout the world are still looking for a breakthrough technology to help combat the Covid-19 outbreak, despite the recent worldwide urgency. The use of Machine Learning (ML) and Artificial Intelligence (AI) in earlier epidemics has encouraged researchers by providing a fresh approach to combating the latest Coronavirus pandemic. This paper aims to comprehensively review the role of AI and ML for analysis of gene expressed data of COVID-19
K, Santhosh; S, Ajitha; Pradeep, Sushma; Honnappa Suresh, Kuralyanapalya Putta; Patil, Sharanagouda S; Kollur, Shiva Prasad; and Shivmallu, Chandan
"Artificial intelligence and Machine Learning based Techniques in Analyzing the COVID-19 Gene Expression data: A Review,"
International Journal of Health and Allied Sciences: Vol. 11:
1, Article 12.
Available at: https://rescon.jssuni.edu.in/ijhas/vol11/iss1/12