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AI and IoT Solutions for Tackling COVID-19 Pandemic
Proc. Int. Conf. Electron., Commun. Aerosp. Technol., ICECA ; : 1083-1092, 2020.
Article in English | Scopus | ID: covidwho-1050277
ABSTRACT
Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS CoV-2), has become an unprecedented public health crisis. To tackle this crisis in an effective way different computational solutions involving artificial intelligence and machine learning have been propounded by researchers across the world. Artificial Intelligence has changed the landscape of the healthcare industry and is being used by many corporations and governments around the world to tackle health care issues and hence, it finds applications in these troubling times as well. The internet specially google scholar scoured for relevant and accurate applications of machine learning and deep learning in solving the issues of this pandemic. The different applications include diagnosis, mortality rate prediction, vaccine development, drug development, sentiment analysis regarding COVID-19 comments and misinformation detection. A systematic study presents the best working models in the respective field. © 2020 IEEE.

Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Proc. Int. Conf. Electron., Commun. Aerosp. Technol., ICECA Year: 2020 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Proc. Int. Conf. Electron., Commun. Aerosp. Technol., ICECA Year: 2020 Document Type: Article