DocumentCode :
126933
Title :
Blood-glucose pattern mining algorithm for decision support in diabetes management
Author :
Al-Taee, Majid A. ; Abood, Suhail N. ; Al-Nuaimy, Waleed ; Al-Taee, Ahmad M.
Author_Institution :
Sch. of Comput. & Inf. Syst., Kingston Univ., Kingston upon Thames, UK
fYear :
2014
fDate :
8-10 Sept. 2014
Firstpage :
1
Lastpage :
7
Abstract :
Pattern recognition has been an effective approach to identifying glycaemic patterns within self-monitored blood glucose (BG) data in diabetes mellitus patients. This paper presents a new BG pattern mining algorithm for more targeted therapeutic decision support in diabetes self-management. Based on patients´ BG readings which are collected via a handheld device and logged on a web-based health portal, the existing BG patterns are extracted in real-time and fed back to the patient along with appropriate therapeutic recommendations, educational modules and health care advice. The identified patterns help patients improve their blood glucose management and education about diabetes and its complications. A functional prototype of the proposed system is developed and its end-to-end functionality is successfully demonstrated. A pilot clinical study demonstrated positive user acceptability and interest in its decision support attributes for diabetes self-management, making this a promising avenue for further research.
Keywords :
Internet; blood; data mining; decision support systems; health care; medical computing; pattern recognition; BG pattern mining algorithm; Web-based health portal; blood glucose management; blood-glucose pattern mining algorithm; decision support; diabetes management; glycaemic patterns; health care; mellitus patients; pattern recognition; self-monitored blood glucose data; therapeutic recommendations; Algorithm design and analysis; Data mining; Diabetes; Educational institutions; Portals; Blood glucose patterns; decision support; diabetes self-management; mobile health; pattern mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence (UKCI), 2014 14th UK Workshop on
Conference_Location :
Bradford
Type :
conf
DOI :
10.1109/UKCI.2014.6930191
Filename :
6930191
Link To Document :
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