Mobile Data Mining for Intelligent Healthcare Support
Pari Delir Haghighi, Arkady Zaslavsky, Shonali Priyadarsini Krishnaswamy, Mohamed Medhat Gaber · 2009
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.