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Artificial intelligence-based solutions for COVID-19
Data Science for COVID-19: Volume 2: Societal and Medical Perspectives ; : 167-189, 2021.
Article in English | Scopus | ID: covidwho-1872847
ABSTRACT
Witness the coronavirus disease 2019 (COVID-19) virus becoming more deadly. Artificial intelligence (AI) scientists are using social media, the web, and other knowledge machine learning techniques to look for subtle signs that the disease may spread elsewhere. AI is a weapon in the battle against the infectious pandemic that has had impacts on the whole planet since early 2020. It echoes the high hopes of data science to confront the coronavirus in the press and the scientific community. The AI approach is used in the battle for cure, prediction, and pandemic predictors. Improving AI is a good step toward growing such uncertainties, one of the essential data analytics tools built over the past decade or so. Data scientists have approached the task of motivation. The index is growing exponentially as work information surface, beyond the potential of humans to do it alone. AI describes large data models, and this chapter should clarify how this challenge has become one of the ace cards of humanity. Advances in AI software, such as natural language processing, expression understanding, data mining, etc., are used for diagnosis as well as traceability and production of vaccines. AI has supported and contributed to the control of the COVID-19 pandemic. We include an initial overview of the real and potential contribution of AI to the fight against COVID-19 and the existing constraints on these contributions. In this chapter, different technologic solutions using AI for COVID-19 have been discussed. © 2022 Elsevier Inc.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Data Science for COVID-19: Volume 2: Societal and Medical Perspectives Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Data Science for COVID-19: Volume 2: Societal and Medical Perspectives Year: 2021 Document Type: Article