Title

Synthesis Of Insulin Pump Controllers From Safety Specifications Using Bayesian Model Validation

Keywords

Artificial pancreas; Automated synthesis; Bayesian statistical model checking; Computational systems biology; Diabetes; Parameter synthesis

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.

Publication Date

1-1-2012

Publication Title

International Journal of Bioinformatics Research and Applications

Volume

8

Issue

3-4

Number of Pages

263-285

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1504/IJBRA.2012.048964

Socpus ID

84866236069 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84866236069

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