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All Journal Proceeding of International Conference Health, Science And Technology (ICOHETECH)
Christopher Jody Widiyono
Universitas Duta Bangsa Surakarta
Computer Science & IT Decision Sciences, Operations Research & Management Health Professions Industrial & Manufacturing Engineering Medicine & Pharmacology

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Implementation of Artificial Intelligence and Big Data to Overcome Covid-19 Pandemic Christopher Jody Widiyono; Joni Maulindar
Proceeding of International Conference on Science, Health, And Technology 2021: Proceeding of the 2nd International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (407.443 KB) | DOI: 10.47701/icohetech.v1i1.1132

Abstract

At this time, where the COVID-19 pandemic caused by a new type of corona virus is occurring, the demands in the health sector are becoming heavy. Seeing the increasing number of confirmed cases of COVID-19 patients and the number of existing cases of death, a solution is needed to deal with this crisis. Artificial Intelligence and Big Data are technologies that can be adapted to deal with the COVID-19 pandemic. This review will discuss how technology based on Artificial Intelligence and Big Data can be implemented to help medical personnel carry out initial diagnoses and various kinds of research to assist drug and vaccine discovery.
Co-Authors Maulindar, Joni