Comparison of parametrized models for computer-based estimation of diabetic patient glucose response.
Two mathematical models for the description of diabetic patient glucose behaviour are proposed. Unlike high order differential-equation based compartmental models, these models employ only the data typically available to a diabetic patient: the history of measured blood glucose concentrations and of insulin injections. The model structures are compared with a native benchmark (zero-order hold) model in a computer simulation. It is demonstrated that, given four daily blood glucose measurements and two daily insulin injections, a parametrized model of patient blood glucose response to insulin can provide relevant data in the estimation of a patient's future blood glucose response in terms of past blood glucose measurements and insulin injections. Parametrized model root means squared errors of glycaemic predictions for 18 simulated patients ranged from 7-22 mg dl-1, as compared with 19-42 mg dl-1 for the benchmark model.
Naylor
J S
JS
Sparta Corp., Huntsville, Alabama, USA.
Hodel
A S
AS
Albisser
A M
AM
Evers
J H
JH
Strickland
J H
JH
Schumacher
D A
DA
D003198:Computer Simulation; D003920:Diabetes Mellitus / Q000628:therapy*; D005947:Glucose / Q000378:metabolism*; D006801:Humans; D007328:Insulin / Q000008:administration & dosage / Q000494:pharmacology*; D016018:Least-Squares Analysis; D016014:Linear Models; D008954:Models, Biological; D013813:Therapy, Computer-Assisted
D007328:Insulin; D005947:Glucose