IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

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
View Sample PDF
Author(s): Ali Al Mazari (Alfaisal University, Saudi Arabia)
Copyright: 2018
Pages: 36
Source title: Big Data Analytics in HIV/AIDS Research
Source Author(s)/Editor(s): Ali Al Mazari (Alfaisal University, Saudi Arabia)
DOI: 10.4018/978-1-5225-3203-3.ch004

Purchase


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.

Related Content

Giulia Perasso, Chiara Baghino, Elisabetta Capris, Elena Cocchi, Silvia Dini, Valentina Facchini, Antonella Panizzi, Valentina Salvagno. © 2022. 24 pages.
Simon Shachia Oryila, Philip Chike Chukwunonso Aghadiuno. © 2022. 32 pages.
Macire Kante, Patrick Ndayizigamiye. © 2022. 17 pages.
Abiodun Alao, Roelien Brink. © 2022. 32 pages.
Patrick Ndayizigamiye. © 2022. 19 pages.
Mwai Chipeta, Donald Flywell Malanga. © 2022. 28 pages.
Margaret Nagwovuma, Gilbert Maiga, Agnes Nakakawa, Emmanuel Eilu. © 2022. 22 pages.
Body Bottom