Big Data Analytics in Healthcare: Predictive Modeling, Privacy Challenges, and Global Regulatory Compliance

dc.contributor.author	Ndung’u, Rachael N.
dc.date.accessioned	2025-07-17T13:06:19Z
dc.date.available	2025-07-17T13:06:19Z
dc.date.issued	2025
dc.identifier.issn	2279 – 0764)
dc.identifier.uri	http://repository.mut.ac.ke:8080/xmlui/handle/123456789/6607
dc.description.abstract	Big Data Analytics (BDA) is increasingly central to modern healthcare, promising transformative improvements in patient care, operational efficiency, and predictive disease modeling. However, the sensitive nature of health data also introduces significant challenges, particularly regarding privacy, confidentiality, and global regulatory compliance. This article synthesizes key insights from contemporary research, highlighting methods, existing gaps, proposed solutions, and the critical need for stronger global data privacy harmonization.	en_US
dc.language.iso	en	en_US
dc.publisher	International Journal of Computer and Information Technology	en_US
dc.subject	Big Data, Healthcare, Data Privacy, Regulatory	en_US
dc.title	Big Data Analytics in Healthcare: Predictive Modeling, Privacy Challenges, and Global Regulatory Compliance	en_US
dc.type	Article	en_US