https://bura.brunel.ac.uk/bitstream/2438/13152/4/Fulltext.pdf

Critical analysis of Big Data challenges and analytical methods

In the future there will be more old people than there are now. How do we know? Because the Government Statistical Service tells us so ( www.statistics.gov.uk/misc/sitemap.htm ). Government statistical reports were notoriously dusty paper publications, but being able to download the actual data in electronic form from a website does make them more interesting. So if …

/pdf/the-ageing-population-5g12m2lkk7.pdf

The ageing population.

The potential of Big Data allows us to hope to slow the ever-increasing costs of care, help providers practice more effective medicine, empower patients and caregivers, support fitness and preventive self-care, and to dream about more personalized medicine. Yet, as with the Internet, social media, and cloud computing, early enthusiasts are creating hyperbolic expectations about how and how quickly Big Data will transform healthcare. A number of issues challenge the adoption and success of healthcare Big Data, including privacy and security, who owns the data, and the regulatory labyrinth. Furthermore, real advances depend on better ways to exploit the disconnected puddles and lakes of existing data as well as better ways to generate, capture, analyze and make use of the streams of new kinds of data that are about to flood healthcare. This paper will introduce to Big Data and explore how it is becoming a growing force in the changing healthcare landscape.

Big Data in Healthcare Hype and Hope

Big data analytics in health sector: Theoretical framework, techniques and prospects

https://northumbria-test.eprints-hosting.org/id/document/267120

Yang Li

Papers

Wiki-Health