Synthesis of insulin pump controllers from safety specifications using Bayesian model validation Article

Jha, SK, Dutta, RG, Langmead, CJ et al. (2012). Synthesis of insulin pump controllers from safety specifications using Bayesian model validation . International Journal of Bioinformatics Research and Applications, 8(3-4), 263-285. 10.1504/IJBRA.2012.048964

cited authors

  • Jha, SK; Dutta, RG; Langmead, CJ; Jha, S; Sassano, E

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. Copyright © 2012 Inderscience Enterprises Ltd.

authors

publication date

  • January 1, 2012

published in

Digital Object Identifier (DOI)

start page

  • 263

end page

  • 285

volume

  • 8

issue

  • 3-4