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