title: Comparison of parametrized models for computer-based estimation of diabetic patient glucose response.
abstract: 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.
authors.affiliation: Sparta Corp., Huntsville, Alabama, USA.
authors.forename: J S
authors.initials: JS
authors.lastname: Naylor
authors.forename: A S
authors.initials: AS
authors.lastname: Hodel
authors.forename: A M
authors.initials: AM
authors.lastname: Albisser
authors.forename: J H
authors.initials: JH
authors.lastname: Evers
authors.forename: J H
authors.initials: JH
authors.lastname: Strickland
authors.forename: D A
authors.initials: DA
authors.lastname: Schumacher
mesh_terms: 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
chemical_list: D007328:Insulin; D005947:Glucose