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Computational and Data Mining Perspectives on HIV/AIDS in Big Data Era: Opportunities, Challenges, and Future Directions

Computational and Data Mining Perspectives on HIV/AIDS in Big Data Era: Opportunities, Challenges, and Future Directions
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Author(s): Ali Al Mazari (Alfaisal University, Saudi Arabia)
Copyright: 2022
Pages: 27
Source title: Research Anthology on Big Data Analytics, Architectures, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-3662-2.ch072

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Abstract

HIV/AIDS big data analytics evolved as a potential initiative enabling the connection between three major scientific disciplines: (1) the HIV biology emergence and evolution; (2) the clinical and medical complex problems and practices associated with the infections and diseases; and (3) the computational methods for the mining of HIV/AIDS biological, medical, and clinical big data. This chapter provides a review on the computational and data mining perspectives on HIV/AIDS in big data era. The chapter focuses on the research opportunities in this domain, identifies the challenges facing the development of big data analytics in HIV/AIDS domain, and then highlights the future research directions of big data in the healthcare sector.

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