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International Journal of Scientific and Research Publications

IJSRP, Volume 13, Issue 5, May 2023 Edition [ISSN 2250-3153]


AI and Big Data in Healthcare: Impacts and Challenges in Covid-19 Outbreak Prediction and Management
      Abdul Sajid Mohammed
Abstract: A disease outbreak is challenging to predict. However, with the recent Covid-19 case, many governments are trying to develop a model and use data to predict its effects. As a result, AI is most widespread in the healthcare field, particularly with the spread of Coronavirus. Indeed, technology influences healthcare across many sectors by automating pro- cedures, improving operations, and altering traditional approaches. Arti- ficial intelligence in health care is essential in manufacturing drugs, offer- ing significant discoveries by analyzing big data and making clear deci- sions with fewer errors. This article will provide an overview of the sound impacts of using AI and big data to tackle several pandemic challenges and investigate how AI impacts the health sciences business. Since the Covid-19 virus spread throughout the country, many countries, including China and US, have deployed big data, AI, and other automated tools to monitor and contain the outbreak. The article provided an in-depth anal- ysis of the use of big data and AI to draw patterns of disease outbreaks.

Reference this Research Paper (copy & paste below code):
Abdul Sajid Mohammed (2023); AI and Big Data in Healthcare: Impacts and Challenges in Covid-19 Outbreak Prediction and Management; International Journal of Scientific and Research Publications (IJSRP) 13(05) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.13.05.2023.p13745

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