title: A consultation system for insulin therapy.
abstract: This paper describes a computer system to advice on insulin therapy for diabetic in-patients. A mathematical model was developed to describe the effect of insulin on blood glucose (BG) level. The system uses an adaptive approach to analyse the response to an applied insulin dosage. It learns the patient's individual parameters. All conventional injection and insulin pump regimens are supported. The individualised model is used to predict BG level of the proposed insulin dosage. The system uses a generate-reject strategy to output optimum insulin therapy in terms of optimum BG. The predictive capability of the system was tested and it is able to predict BG with a precision of 2.5 mmol/l after 3 days and 6 days of insulin pump treatment and conventional injection therapy, respectively.
authors: Centre for Measurement & Information in Medicine, Department of Systems Science, City University, London, U.K.
authors: R
authors: R
authors: Hovorka
authors: S
authors: S
authors: Svacina
authors: E R
authors: ER
authors: Carson
authors: C D
authors: CD
authors: Williams
authors: P H
authors: PH
authors: Sönksen
mesh_terms: D015190:Blood Glucose Self-Monitoring; D003920:Diabetes Mellitus / Q000188:drug therapy* / Q000378:metabolism; D004334:Drug Administration Schedule; D005103:Expert Systems; D006801:Humans; D007328:Insulin / Q000008:administration & dosage*; D008954:Models, Biological; D013813:Therapy, Computer-Assisted; D014584:User-Computer Interface
chemical_list: D007328:Insulin