Development of a Smart Environment for Diabetes Data Analysis and New Knowledge Mining

被引：0
|
作者：
Georga, Eleni I. [1 ]
Protopappas, Vasilios C. [1 ]
Bellos, Christos V. [1 ]
Potsika, Vassiliki T. [1 ]
Fotiadis, Dimitrios I. [1 ]
Arvaniti, Eleni [2 ]
Makriyiannis, Dimitrios [2 ]
机构：
[1] Univ Ioannina, Dept Mat Sci & Engn, Unit Med Technol & Intelligent Informat Syst, GR-45110 Ioannina, Greece
[2] G Hatzikosta Gen Hosp, Dept Endocrinol, GR-45445 Ioannina, Greece
来源：
2014 EAI 4TH INTERNATIONAL CONFERENCE ON WIRELESS MOBILE COMMUNICATION AND HEALTHCARE (MOBIHEALTH) | 2014年
关键词：
Type; 1; and; 2; diabetes; diabetic complications; clinical information system; mobile health devices; data mining; DECISION-SUPPORT-SYSTEMS; MANAGEMENT;
D O I：
10.4108/icst.mobihealth.2014.257326
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：112 / 115
页数：4
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