Synthesis of insulin pump controllers from safety specifications using Bayesian model validation. (1st January 2012)

• Record Type: Journal Article
• Authors: Jha, Sumit Kumar; Dutta, Raj Gautam; Langmead, Christopher J.; Jha, Susmit; Sassano, Emily
• Is Part Of: International journal of bioinformatics research and applications. Volume 8:Number 3/4(2012)
• Page Start: 263
• Page End: 285
• Publication Date: 2012-01-01
• Subjects: computational systems biology -- diabetes -- artificial pancreas -- parameter synthesis -- bayesian statistical model checking -- automated synthesis; Bioinformatics -- Periodicals; 570.285
• Languages: English
• ISSNs: 1744-5485

Abstract

Insulin pump controllers seek to alleviate the chronic suffering caused by diabetes that affects over 6% of the world population. The design of control laws for insulin pump controllers has been well studied. However, the parameters involved in the control law are difficult to synthesize. Traditionally, ad hoc approaches using animal models and random sampling have been used to construct these parameters. We suggest a synthesis algorithm that uses Bayesian statistical model validation to reduce the number of simulations needed. We apply this algorithm to the problem of insulin pump controller synthesis using in silico simulation of the glucose-insulin metabolism model.