An integrated approach for the computer-assisted treatment of diabetic patients on insulin.
A prototype computer system has been developed to provide advice on the day-to-day adjustment of carbohydrate intake and insulin regimen in the insulin-dependent diabetic patient. The system also produces a 24-h simulation of the patient's blood glucose profile based on these adjustments. Advice is generated by a qualitative knowledge-based system which suggests what the next step in improving glycaemic control might be for a given patient, e.g. 'decrease morning short-acting insulin by 2 units'. The quantitative simulator module contains two different mathematical models. The first is a non-linear model in differential equation form which consists of a one-compartment glucose model linked to a model with free and bound insulin compartments. This physiological model is solved by a general-purpose simulation engine. The second is a linear systems model which uses a transfer function to describe the insulin input/blood glucose response relationship for individual diabetic patients. Results of a preliminary medical validation are presented.
Lehmann
E D
ED
Department of Endocrinology, United Medical School, St. Thomas' Hospital, London, UK.
Deutsch
T
T
Roudsari
A V
AV
Carson
E R
ER
Benn
J J
JJ
Sonksen
P H
PH
D001786:Blood Glucose; D003199:Computer Systems; D003922:Diabetes Mellitus, Type 1 / Q000628:therapy*; D004040:Dietary Carbohydrates / Q000008:administration & dosage; D004360:Drug Therapy, Computer-Assisted; D005103:Expert Systems; D006801:Humans; D007328:Insulin / Q000627:therapeutic use*; D008962:Models, Theoretical
D001786:Blood Glucose; D004040:Dietary Carbohydrates; D007328:Insulin