Mohamedali, Fehmida and Oussena, Samia (2016) Application of Complex Event Processing techniques to Big Data related to healthcare: a systematic literature review of case studies. In: Enterprise Big Data Engineering, Analytics, and Management. IGI Global Publication, Hershey, USA, pp. 201-220. ISBN 9781522502937

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Abstract

Healthcare is a growth area for event processing applications. Computers and information systems have been used for collecting patient data in health care for over fifty years. However, progress towards a unified health care delivery system in the UK has been slow. Big Data, the Internet of Things (IoT) and Complex Event Processing (CEP) have the potential not only to deal with treatment areas of healthcare domain but also to redefine healthcare services. This study is intended to provide a broad overview of where in the health sector, the application of CEP is most used, the data sources that contribute to it and the types of event processing languages and techniques implemented. By systematic review of existing literature on the application of CEP techniques in Healthcare, a number of use cases have been identified to provide a detailed analysis of the most common used case(s), common data sources in use and highlight CEP query language types and techniques that have been considered.

Item Type:	Book Section
Identifier:	10.4018/978-1-5225-0293-7.ch012
Keywords:	Big Data, Complex Event Processing, CEP, Pattern Mining, Healtcare, IOT, Internet of Things, Stream Query, Composition Operator, Rule Based Language
Subjects:	Computing
Depositing User:	Fehmida Mohamedali
Date Deposited:	16 Apr 2016 14:29
Last Modified:	04 Nov 2024 12:32
URI:	https://repository.uwl.ac.uk/id/eprint/1902

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