Applications of machine learning and artificial intelligence for Covid-19 (SARS-CoV-2) pandemic: A review

Samuel Lalmuanawma, Jamal Hussain and Lalrinfela Chhakchhuak

Chaos, Solitons & Fractals, 2020, vol. 139, issue C

Abstract: During the recent global urgency, scientists, clinicians, and healthcare experts around the globe keep on searching for a new technology to support in tackling the Covid-19 pandemic. The evidence of Machine Learning (ML) and Artificial Intelligence (AI) application on the previous epidemic encourage researchers by giving a new angle to fight against the novel Coronavirus outbreak. This paper aims to comprehensively review the role of AI and ML as one significant method in the arena of screening, predicting, forecasting, contact tracing, and drug development for SARS-CoV-2 and its related epidemic.

Keywords: Covid-19; Machine learning; Artificial intelligence; Pandemic (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (24)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:139:y:2020:i:c:s0960077920304562

DOI: 10.1016/j.chaos.2020.110059

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