Health big data analytics : current perspectives, challenges and potential solutions
Kuo, Mu-Hsing, Sahama, Tony, Kushniruk, Andre W., Borycki, Elizabeth M., & Grunwell, Daniel K. (2014) Health big data analytics : current perspectives, challenges and potential solutions. International Journal of Big Data Intelligence, 1(1/2), pp. 114-126.
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Modern health information systems can generate several exabytes of patient data, the so called "Health Big Data", per year. Many health managers and experts believe that with the data, it is possible to easily discover useful knowledge to improve health policies, increase patient safety and eliminate redundancies and unnecessary costs. The objective of this paper is to discuss the characteristics of Health Big Data as well as the challenges and solutions for health Big Data Analytics (BDA) – the process of extracting knowledge from sets of Health Big Data – and to design and evaluate a pipelined framework for use as a guideline/reference in health BDA.
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|Item Type:||Journal Article|
|Keywords:||Healthcare, Big Data, Big Data Analytics, Data Mining, Cloud Computing|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000)|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2014 Inderscience Publishers|
|Deposited On:||02 Apr 2014 22:25|
|Last Modified:||01 Apr 2015 06:24|
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