Title | ||
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Development Of A Smart Environment For Diabetes Data Analysis And New Knowledge Mining |
Abstract | ||
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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 |
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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 |
Name | Order | Citations | PageRank |
---|---|---|---|
Eleni I. Georga | 1 | 30 | 6.48 |
Vasilios C. Protopappas | 2 | 15 | 2.12 |
Christos Bellos | 3 | 0 | 0.34 |
Vassiliki T. Potsika | 4 | 0 | 2.37 |
Dimitrios I. Fotiadis | 5 | 941 | 121.32 |
Eleni Arvaniti | 6 | 0 | 0.34 |
Dimitrios Makriyiannis | 7 | 0 | 0.34 |