DocumentCode :
2416714
Title :
Mobile Data Mining for Intelligent Healthcare Support
Author :
Haghighi, Pari Delir ; Zaslavsky, A. ; Krishnaswamy, S. ; Gaber, Mohamed Medhat
Author_Institution :
Center for Distrib. Syst. & Software Eng., Monash Univ., Clayton, VIC
fYear :
2009
fDate :
5-8 Jan. 2009
Firstpage :
1
Lastpage :
10
Abstract :
The growth in numbers and capacity of mobile devices such as mobile phones coupled with widespread availability of inexpensive range of biosensors presents an unprecedented opportunity for mobile healthcare applications. In this paper we propose a novel approach for situation-aware adaptive processing (SAAP) of data streams for smart and real-time analysis of data. The implementation and evaluation of the framework for a health monitoring application is described.
Keywords :
data mining; health care; medical administrative data processing; mobile computing; mobile handsets; biosensors; health monitoring application; intelligent healthcare support; mobile data mining; mobile devices; mobile healthcare applications; mobile phones; situation-aware adaptive processing; Biosensors; Context modeling; Data analysis; Data mining; Fluctuations; Fuzzy logic; Medical services; Mobile handsets; Patient monitoring; Performance analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences, 2009. HICSS '09. 42nd Hawaii International Conference on
Conference_Location :
Big Island, HI
ISSN :
1530-1605
Print_ISBN :
978-0-7695-3450-3
Type :
conf
DOI :
10.1109/HICSS.2009.309
Filename :
4755589
Link To Document :
بازگشت