Combining rule-based reasoning and mathematical modelling in diabetes care.
A prototype computer system utilising a model of carbohydrate metabolism linked to an expert system is described. The prototype which integrates quantitative and qualitative computational methodologies can be used to predict blood glucose profiles and adjust insulin doses in insulin-dependent (type I) diabetic subjects. A feedback loop insulin-dosage optimisation procedure which allows quantitative advice to be generated is also described. Possible clinical applications for the system, which is intended for educational use and clinically as a research tool to try and attain normoglycaemia, are discussed.
Lehmann
E D
ED
Dept. of Endocrinology, United Medical School of Guy's Hospital, (University of London), UK.
Deutsch
T
T
Carson
E R
ER
Sönksen
P H
PH
D000465:Algorithms; D001185:Artificial Intelligence; D001786:Blood Glucose / Q000378:metabolism; D016208:Databases, Factual; D003922:Diabetes Mellitus, Type 1 / Q000097:blood / Q000188:drug therapy / Q000628:therapy*; D004435:Eating; D005103:Expert Systems; D006801:Humans; D007003:Hypoglycemia / Q000097:blood; D007328:Insulin / Q000008:administration & dosage / Q000097:blood / Q000627:therapeutic use; D008099:Liver / Q000378:metabolism; D008962:Models, Theoretical; D009747:Nutritional Physiological Phenomena; D011381:Programming Languages
D001786:Blood Glucose; D007328:Insulin