Title :
An adaptive expert system for blood glucose control in type 1 diabetes mellitus
Author :
McCausland, L. ; Mareels, I.M.Y. ; Barnett, R.W. ; Arad, D.
Author_Institution :
Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia
Abstract :
Due to the complex nature of the condition, developing a control system for diabetes management is a challenging task. To date, the model-based approach has not shown much success. In this paper, a rule-based algorithm that can adapt itself to the needs of each particular patient is proposed
Keywords :
biochemistry; biocontrol; blood; diseases; medical expert systems; organic compounds; patient treatment; adaptive expert system; blood glucose control; insulin advisory therapy; knowledge based system; model-based approach; rule-based algorithm; type 1 diabetes mellitus; Adaptive control; Adaptive systems; Blood; Control systems; Diabetes; Expert systems; Insulin; Machine learning; Programmable control; Sugar;
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.804375
