Artificial Intelligence based Techniques for COVID-19 Vaccinations – A Review

Kandala, Kalyana Srinivas and Ayyagari, Dilip Kumar Reddy and Juluru, Manav and Peddi, Anudeep and Vardhini, P A Harsha and Kandala, Aditya Bhagavathi and et al, . (2022) Artificial Intelligence based Techniques for COVID-19 Vaccinations – A Review. In: 2022 International Mobile and Embedded Technology Conference, MECON 2022, 10 March 2022 through 11 March 2022, Noida.

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Abstract

Artificial Intelligence (AI) is in high demand across all industries these days. Through the years, AI has made significant progress and has revolutionized the landscape of healthcare, lifestyle, learning, and other everyday interactions by providing amazing solutions to every area and every firm. The need for vaccination against the SARS-CoV-2 virus is of the utmost importance as the virus is highly contagious. In the following, we try to discuss the various methods through which AI can bring about a change in the process of vaccinating the world population and how it can enhance the whole vaccination ecosystem © 2022 IEEE.

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IITH Creators:	IITH Creators ORCiD
Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	artificial intelligence; blockchain; communication networks; deep learning; machine learning; neural networks; SEAHIR; vaccination; VIKOR
Subjects:	Others > Medicine Electrical Engineering
Divisions:	Department of Electrical Engineering
Depositing User:	. LibTrainee 2021
Date Deposited:	20 Jul 2022 10:25
Last Modified:	20 Jul 2022 10:25
URI:	http://raiithold.iith.ac.in/id/eprint/9814
Publisher URL:	http://doi.org/10.1109/MECON53876.2022.9752112
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