DocumentCode :
2344695
Title :
Data Mining and Medical Research Studies
Author :
Khajehei, Marjan ; Etemady, Faried
Author_Institution :
Curtin Bus. Sch., Curtin Univ. of Technol., Perth, WA, Australia
fYear :
2010
fDate :
28-30 Sept. 2010
Firstpage :
119
Lastpage :
122
Abstract :
Health care information systems tend to capture data for their research in order to promote the level of people´s health status and the satisfaction of individuals in societies. To this aim, many approaches have been taken and examined. Data mining is one of the newest analytical methods that have been used to serve medical science research and has been shown to be a valid, sensitive, and reliable method to discover patterns and relationships. It involves the use of data analysis tools to discover previously unknown, valid patterns and relationships in large data sets. While data mining represents a significant advance in the type of analytical tools currently available, medical research studies have benefitted from its application in many areas of interest. In this article, we are to review the role of data mining and its importance in medical science studies.
Keywords :
data analysis; data mining; health care; medical information systems; data analysis tools; data mining; health care information systems; medical research studies; pattern discovery; Analysing Methods; Data Mining; Medical Research;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence, Modelling and Simulation (CIMSiM), 2010 Second International Conference on
Conference_Location :
Bali
Print_ISBN :
978-1-4244-8652-6
Electronic_ISBN :
978-0-7695-4262-1
Type :
conf
DOI :
10.1109/CIMSiM.2010.24
Filename :
5701832
Link To Document :
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