Background The last two decades have witnessed unprecedented technological progress in
the development of continuous glucose sensors, resulting in the first generation of …

This paper reviews and critically appraises the application of compartmental models for
generating glycaemic predictions and offering clinical decision support in diabetes care …

The objective of the project Advanced Insulin Infusion using a Control Loop (ADICOL) was to
develop a treatment system that continuously measures and controls the glucose …

We have previously described a physiological model of glucose—insulin interaction in
insulin-dependent (type 1) diabetes mellitus which has been developed for patient and …

This paper describes features of a computer-based decision support system which is being
developed to assist in the management of insulin-dependent diabetic patients. The clinical …

We begin with a review of a well known class of networks, Classical Bayesian (CB) nets
(also called causal probabilistic nets by some). Given a situation which includes …

The paper reviews the contribution of information technology (IT) to diabetes care. An
appraisal of this topic with respect to insulin-dependent (type 1) diabetic patients is carried …

Objective: Adaptive systems to deliver medical treatment in humans are safety-critical
systems and require particular care in both the testing and the evaluation phase, which are …

Partially observable Markov decision processes (POMDPs) can be used to model complex
control problems that include both action outcome uncertainty and imperfect observability. A …

Expert short-term management of diabetes through good glycaemic control, is necessary to
delay or even prevent serious degenerative complications developing in the long term, due …