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 language | English |
|---|---|
| Pages | 1 -10 |
| Number of pages | 10 |
| Publication status | Published - Jan 2009 |
| Event | 42nd Hawaii International Conference on System Sciences - Hawaii, United States Duration: 5 Jan 2009 → 8 Jan 2009 |
Conference
| Conference | 42nd Hawaii International Conference on System Sciences |
|---|---|
| Abbreviated title | HICSS '09 |
| Country/Territory | United States |
| City | Hawaii |
| Period | 5/01/09 → 8/01/09 |
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
Fingerprint
Dive into the research topics of 'Mobile data mining for intelligent healthcare support'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver