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Application of Artificial Intelligence and Big Data for Fighting COVID-19 Pandemic
International Series in Operations Research and Management Science ; 320:3-26, 2022.
Article in English | Scopus | ID: covidwho-1756675
ABSTRACT
The coronavirus (COVID-19) pandemic is playing sensitive havoc in socio-communal systems, humanity and creates economic crises worldwide. Many strategies have been used to managed and curtailed the COVID-19 outbreak, but many countries are still helpless in fighting and containing the outbreak. In an increasingly knowledge-driven, healthcare innovation, and linked society, fighting COVID-19 becomes easier. The Big Data drives the digital revolution by providing solutions focused on big data analytics empowered by Artificial Intelligence (AI) to reduce the difficulty and cognitive burden of accessing and processing large quantities of data. Hence, big data and AI can have been applied in fighting COVID-19 pandemic since the use of both technologies empowered Big Data Analytics (BDA) and yielded imaginable results in combating infectious diseases globally. Therefore, this paper reviews the applicability and importance of AI and Big Data methods to data produced from the countless ubiquitously connected healthcare devices that produced entrenched and distributed information handling capabilities in fighting COVID-19 outbreak. In the area of managing big data for real-time diagnosing, monitoring, and treating COVID-19 patients, AI enabled with big data analytics has shown tremendous potential. The technologies can also be used in the development of drugs and vaccines within the shortest of time, more than ever before. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: International Series in Operations Research and Management Science Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: International Series in Operations Research and Management Science Year: 2022 Document Type: Article