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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

Ali Al Mazari
Copyright: © 2022 |Pages: 27
ISBN13: 9781668436622|ISBN10: 1668436620|EISBN13: 9781668436639
DOI: 10.4018/978-1-6684-3662-2.ch072
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MLA

Al Mazari, Ali. "Computational and Data Mining Perspectives on HIV/AIDS in Big Data Era: Opportunities, Challenges, and Future Directions." Research Anthology on Big Data Analytics, Architectures, and Applications, edited by Information Resources Management Association, IGI Global, 2022, pp. 1477-1503. https://doi.org/10.4018/978-1-6684-3662-2.ch072

APA

Al Mazari, A. (2022). Computational and Data Mining Perspectives on HIV/AIDS in Big Data Era: Opportunities, Challenges, and Future Directions. In I. Management Association (Ed.), Research Anthology on Big Data Analytics, Architectures, and Applications (pp. 1477-1503). IGI Global. https://doi.org/10.4018/978-1-6684-3662-2.ch072

Chicago

Al Mazari, Ali. "Computational and Data Mining Perspectives on HIV/AIDS in Big Data Era: Opportunities, Challenges, and Future Directions." In Research Anthology on Big Data Analytics, Architectures, and Applications, edited by Information Resources Management Association, 1477-1503. Hershey, PA: IGI Global, 2022. https://doi.org/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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