Mobile data mining for intelligent healthcare support

P. Haghighi, A. Zaslavsky, S. Krishnaswamy, M. Gaber

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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.
Original languageEnglish
Pages1 -10
Number of pages10
Publication statusPublished - Jan 2009
Event42nd Hawaii International Conference on System Sciences - Hawaii, United States
Duration: 5 Jan 20098 Jan 2009

Conference

Conference42nd Hawaii International Conference on System Sciences
Abbreviated titleHICSS '09
CountryUnited States
CityHawaii
Period5/01/098/01/09

Keywords

  • biosensors
  • health monitoring application
  • intelligent healthcare support
  • mobile data mining
  • mobile devices
  • mobile healthcare applications
  • mobile phones
  • situation-aware adaptive processing
  • data mining
  • health care
  • medical administrative data processing
  • mobile computing
  • mobile handsets

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