DocumentCode :
2395245
Title :
Data mining for blood glucose prediction and knowledge discovery in diabetic patients: The METABO diabetes modeling and management system
Author :
Georga, Eleni ; Protopappas, Vasilios ; Guillen, Alejandra ; Fico, Giuseppe ; Ardigo, Diego ; Arredondo, Maria Teresa ; Exarchos, Themis P. ; Polyzos, Demosthenes ; Fotiadis, Dimitrios I.
Author_Institution :
Dept. of Mater. Sci. & Eng., Univ. of Ioannina, Ioannina, Greece
fYear :
2009
fDate :
3-6 Sept. 2009
Firstpage :
5633
Lastpage :
5636
Abstract :
METABO is a diabetes monitoring and management system which aims at recording and interpreting patient´s context, as well as, at providing decision support to both the patient and the doctor. The METABO system consists of (a) a Patient´s Mobile Device (PMD), (b) different types of unobtrusive biosensors, (c) a Central Subsystem (CS) located remotely at the hospital and (d) the Control Panel (CP) from which physicians can follow-up their patients and gain also access to the CS. METABO provides a multi-parametric monitoring system which facilitates the efficient and systematic recording of dietary, physical activity, medication and medical information (continuous and discontinuous glucose measurements). Based on all recorded contextual information, data mining schemes that run in the PMD are responsible to model patients´ metabolism, predict hypo/hyper-glycaemic events, and provide the patient with short and long-term alerts. In addition, all past and recently-recorded data are analyzed to extract patterns of behavior, discover new knowledge and provide explanations to the physician through the CP. Advanced tools in the CP allow the physician to prescribe personalized treatment plans and frequently quantify patient´s adherence to treatment.
Keywords :
biomedical measurement; biosensors; blood; data mining; decision support systems; diseases; patient monitoring; METABO; blood glucose prediction; central subsystem; contextual information; control panel; data mining; decision support systems; diabetes management system; diabetes modeling system; diabetic patients; dietary information; discontinuous glucose measurements; hyperglycaemic event prediction; hypoglycaemic event prediction; knowledge discovery; medical information; medication information; multiparametric monitoring system; patient mobile device; physical activity information; unobtrusive biosensors; Blood Glucose Self-Monitoring; Decision Support Techniques; Diabetes Mellitus; Diagnosis, Computer-Assisted; Humans; Monitoring, Ambulatory; Telemedicine; Therapy, Computer-Assisted;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1557-170X
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2009.5333635
Filename :
5333635
Link To Document :
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