Title
Development Of A Smart Environment For Diabetes Data Analysis And New Knowledge Mining
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.
Year
DOI
Venue
2014
10.4108/icst.mobihealth.2014.257326
2014 EAI 4TH INTERNATIONAL CONFERENCE ON WIRELESS MOBILE COMMUNICATION AND HEALTHCARE (MOBIHEALTH)
Keywords
Field
DocType
Type 1 and 2 diabetes, diabetic complications, clinical information system, mobile health devices, data mining
Knowledge mining,Hypoglycemic episodes,Information system,Data mining,Diabetes mellitus,Smart environment,Computer science,Knowledge management
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
7