DocumentCode :
2063787
Title :
Intelligent techniques for business intelligence in healthcare
Author :
Mach, Maria Antonina ; Salem, I Abdel-Badeeh M
Author_Institution :
Artificial Intell. Syst. Dept., Univ. of Econ., Wroclaw, Poland
fYear :
2010
fDate :
Nov. 29 2010-Dec. 1 2010
Firstpage :
545
Lastpage :
550
Abstract :
Business intelligence is a new methodology to maximize the benefits for healthcare organization Business intelligence provides an integrated view of data that can be used to monitor, key performance indicators, identify hidden patterns in diagnosis and identify variations in cost factors. Intelligent techniques provide an effective computational methods and robust environment for business intelligence in the healthcare domain. From the technical point of view, healthcare based business intelligence systems, are complex to build, maintain and face the knowledge-acquisition difficulty. Efficiency of such systems is determined by the efficiency of the intelligent techniques and methodologies. This paper discusses AI based techniques and approaches which are used in such systems namely; expert systems, data mining and grid computing.
Keywords :
competitive intelligence; data mining; expert systems; grid computing; health care; artificial intelligence; business intelligence; data mining; expert systems; grid computing; healthcare organization; intelligent techniques; knowledge acquisition; Business Intelligence; Data mining; Expert Systems; Grid Computing; Healthcare;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-8134-7
Type :
conf
DOI :
10.1109/ISDA.2010.5687209
Filename :
5687209
Link To Document :
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