Research Article
Development of a Smart Environment for Diabetes Data Analysis and New Knowledge Mining
@INPROCEEDINGS{10.4108/icst.mobihealth.2014.257326, author={Eleni Georga and Vasilios Protopappas and Christos Bellos and Vassiliki Potsika and Eleni Arvaniti and Dimitrios Makriyiannis and Dimitrios Fotiadis}, title={Development of a Smart Environment for Diabetes Data Analysis and New Knowledge Mining}, proceedings={4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies"}, publisher={IEEE}, proceedings_a={MOBIHEALTH}, year={2014}, month={12}, keywords={type 1 and 2 diabetes diabetic complications clinical information system mobile health devices data mining}, doi={10.4108/icst.mobihealth.2014.257326} }- Eleni Georga
Vasilios Protopappas
Christos Bellos
Vassiliki Potsika
Eleni Arvaniti
Dimitrios Makriyiannis
Dimitrios Fotiadis
Year: 2014
Development of a Smart Environment for Diabetes Data Analysis and New Knowledge Mining
MOBIHEALTH
IEEE
DOI: 10.4108/icst.mobihealth.2014.257326
Abstract
Diabetes care requires the control of an extensive set of clinical and non-clinical variables which affect the metabolism of glucose in order to prevent acute complications (i.e. hypoglycemic episodes) and to reduce the risk of long-term ones. In this study, we present a clinical information system which records medical (clinical and laboratory) parameters related to Type 1 and 2 diabetes and, mainly, takes a significant step forward towards the collection of lifestyle data. In addition, the intuitive representation and the intelligent analysis of all these multi-parameter data enable the clinician to interpret the status of each patient and support him indirectly in the development of an effective individualized treatment plan.
