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http://krishi.icar.gov.in/jspui/handle/123456789/76835| Title: | Artificial Intelligence and Machine Learning Based Techniques in Analyzing the COVID-19 Gene Expression Data: A Review |
| Other Titles: | Not Available |
| Authors: | Santhosh Kusappa Ajitha Santhakumari Sushma Pradeep Kuralyanapalya Putta Honnappa Suresh Sharanagouda S. Patil Shiva Prasad Kollur Chandan Shivmallu |
| ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
| Author's Affiliated institute: | Department of Computer Science, JSS College for Women, Mysore, India Department of Master of Computer Applications, Ramaiah Institute of Technology, Bangalore, India d ICAR National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Bengaluru, School of Physical Sciences, Amrita Vishwa Vidyapeetham, Mysuru Campus, Mysuru, India |
| Published/ Complete Date: | 2022-12-16 |
| Project Code: | Not Available |
| Keywords: | Coronavirus Repurposing COVID-19 Machine learning Artificial intelligence |
| Publisher: | JSS University, Mysore |
| Citation: | K, Santhosh; S, Ajitha; Pradeep, Sushma; Honnappa Suresh, Kuralyanapalya Putta; Patil, Sharanagouda S; Kollur, Shiva Prasad; and Shivmallu, Chandan (2022) "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: Iss. 1, Article 12 |
| Series/Report no.: | Not Available; |
| Abstract/Description: | 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 |
| Description: | Not Available |
| ISSN: | 2278-4292 |
| Type(s) of content: | Research Paper |
| Sponsors: | Not Available |
| Language: | English |
| Name of Journal: | The International Journal of Health & Allied Sciences |
| Journal Type: | Peer reviewed Journal |
| NAAS Rating: | Not listed in the NAAS Journal List |
| Impact Factor: | Not listed in Journal Impact factor list |
| Volume No.: | 11 |
| Page Number: | 83-89 |
| Name of the Division/Regional Station: | Not Available |
| Source, DOI or any other URL: | 10.55691/2278-344X.1013 |
| URI: | http://krishi.icar.gov.in/jspui/handle/123456789/76835 |
| Appears in Collections: | AS-NIVEDI-Publication |
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