EventsMOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed.
Event submissions
Published
with-doi10.3390/mol2net-08-12471
This submission belongs to the session 01. CHEMBIO.INFO-08: Cheminfo., Chemom., Comput. Chem. & Bioinfo., Congress München, GR-Cambridge, UK-Ch. Hill, USA, 2022. of the event MOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed.
Published date
12 Apr, 2022
Academic Editor
author-avatarHumbert G. Díaz
Citation
Maider Baltasar Marchueta, Applications of machine learning and artificial intelligence for Covid-19 (SARS-CoV-2) pandemic, in Proceedings of MOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed., 1 January–15 January 2023, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-08-12471
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Applications of machine learning and artificial intelligence for Covid-19 (SARS-CoV-2) pandemic

Maider Baltasar Marchueta 1
1. Departamento de química orgánica e inorgánica, Universidad del País Vasco
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. Different applications of Machine Learning on COVID-19 will be discussed.

Keywords
COVID-19
SARS-CoV19
pandemic
artificial intelligence
machine learning
Manuscript
Applications of machine learning and artificial intelligence for Covid-19 (SARS-CoV-2) pandemic.pdf
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