Potential Use Of The Stochastic ICING Model In STAR Protocol

Simple item page
dc.contributor.authorAnane, Y.
dc.contributor.authorBenyó, B.
dc.contributor.authorSzlávecz, A.
dc.contributor.authorPaláncz, B.
dc.contributor.authorChase, Geoff
dc.date.accessioned2020-03-11T23:37:06Z
dc.date.available2020-03-11T23:37:06Z
dc.date.issued2019en
dc.date.updated2020-02-02T23:38:28Z
dc.description.abstractThe model of the human glucose-insulin system plays an important role in several clinical treatment methods and protocols, like tight glycemic control of intensive care patients. The Intensive Control Insulin-Nutrition-Glucose (ICING) model is one of these protocols that was used for the development of the Stochastic Targeted glucose control (STAR) protocol applied as a standard of care in New Zealand and Hungary. The original ICING model uses an ordinary differential equations (ODE) for the description of the glucose-insulin metabolic system.Recent studies attempted the extension of the original ICING model with stochastic terms resulting a new stochastic differential equations model(SDE). By using the resulted of this new model (SDE) we may have the chance to improve the accuracy of ICING modeling (reduce the modelling error) which can results a better clinical treatment using STAR. In the study presented in this paper, the potential use and implementation of the stochastic version of the ICING model (SDE), was analysed and the modelling error was compared with the original version of the model using a large clinical data set including treatment records of 60 patients from Belgium, Hungary and New Zealand. The results show that the SDE model gives a smaller modeling error compared to the ICING model in most of patients.These results suggest that SDE model may be used to improve the prediction process of the blood glucose level of the ICU patients which will be an important step of the STAR protocol.en
dc.identifier.citationAnane Y, Benyo B, Szlavecz A, Palancz B, Chase G (2019). Potential Use Of The Stochastic ICING Model In STAR Protocol. Budapest, Hungary: WAIT 2019: Workshop on the Advances of Information Technology. 24/01/2019-24/01/2019.en
dc.identifier.urihttps://hdl.handle.net/10092/18507
dc.language.isoen
dc.subject.anzsrcFields of Research::32 - Biomedical and clinical sciences::3202 - Clinical sciences::320212 - Intensive careen
dc.subject.anzsrcFields of Research::32 - Biomedical and clinical sciences::3202 - Clinical sciences::320208 - Endocrinologyen
dc.subject.anzsrcFields of Research::40 - Engineering::4003 - Biomedical engineering::400305 - Biomedical instrumentationen
dc.titlePotential Use Of The Stochastic ICING Model In STAR Protocolen
dc.typeConference Contributions - Otheren
uc.collegeFaculty of Engineering
uc.departmentMechanical Engineering
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
WAIT 2019 - STAR - Accepted.pdf
Size:
244.67 KB
Format:
Adobe Portable Document Format
Description:
Accepted version
Download
Collections
Engineering: Conference Contributions