Research Article
Integration and Evolution of Data Mining Models in Ubiquitous Health Telemonitoring Systems
@INPROCEEDINGS{10.1007/978-3-319-11569-6_57, author={Vladimer Kobayashi and Pierre Maret and Fabrice Muhlenbach and Pierre-Ren\^{e} Lh\^{e}risson}, title={Integration and Evolution of Data Mining Models in Ubiquitous Health Telemonitoring Systems}, proceedings={Mobile and Ubiquitous Systems: Computing, Networking, and Services. 10th International Conference, MOBIQUITOUS 2013, Tokyo, Japan, December 2-4, 2013, Revised Selected Papers}, proceedings_a={MOBIQUITOUS}, year={2014}, month={12}, keywords={Ubiquitous systems Telemonitoring eHealth Data mining models}, doi={10.1007/978-3-319-11569-6_57} }- Vladimer Kobayashi
Pierre Maret
Fabrice Muhlenbach
Pierre-René Lhérisson
Year: 2014
Integration and Evolution of Data Mining Models in Ubiquitous Health Telemonitoring Systems
MOBIQUITOUS
Springer
DOI: 10.1007/978-3-319-11569-6_57
Abstract
Ubiquitous Health Telemonitoring Systems collect low level data with the aim to ameliorate the health condition of patients. Models from data mining are created to compute indicators regarding their status and activity (habits, abnormalities). Models can also help generate feedbacks and recommendations for patients as well as for remote formal and informal care givers. Essential features are that the models can be easily updated whenever new information is available and that data generated from the models can be readily accessible as well as sensed data. This paper addresses the challenge of conveniently incorporating in a Ubiquitous Health Telemonitoring System the creation, the use, and the updating of data mining models. We conducted first runs and generated results showing the feasibility as well as the effectiveness of the system.