DocumentCode
1741435
Title
A probabilistic rule extraction method for an insulin advice algorithm for type 1 diabetes mellitus
Author
McCausland, Lucia ; Y. Mareels, Iven
Author_Institution
Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia
Volume
1
fYear
2000
fDate
2000
Firstpage
623
Abstract
Type 1 diabetics make decisions on insulin doses given certain conditions, such as blood glucose levels, food and exercise, every day of their lives, using a set of rules. The complex nature of the disease and the limited amount of data available have posed challenges in establishing such rules for an advisory expert system. The authors address the issues surrounding selecting techniques which are most appropriate to extract and update these rules
Keywords
adaptive control; biocontrol; diseases; medical expert systems; organic compounds; probability; advisory expert system; blood glucose levels; exercise; food; insulin advice algorithm; insulin doses decisions; probabilistic rule extraction method; rules extraction; rules updating; type 1 diabetes mellitus; Adaptive control; Blood; Control systems; Data mining; Diabetes; Diseases; Expert systems; Insulin; Sections; Sugar;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Conference_Location
Chicago, IL
ISSN
1094-687X
Print_ISBN
0-7803-6465-1
Type
conf
DOI
10.1109/IEMBS.2000.900820
Filename
900820
Link To Document