Publication:
Analysis of Insulin Sensitivity Stochastic Models between STAR Original and Malaysian Cohorts

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dc.citedby1
dc.contributor.authorWai Lee J.W.en_US
dc.contributor.authorChiew Y.S.en_US
dc.contributor.authorTan C.P.en_US
dc.contributor.authorRazak A.A.en_US
dc.contributor.authorAbdul Razak N.N.en_US
dc.contributor.authorid57349841700en_US
dc.contributor.authorid57191987083en_US
dc.contributor.authorid35086948100en_US
dc.contributor.authorid56960052400en_US
dc.contributor.authorid37059587300en_US
dc.date.accessioned2023-05-29T08:11:46Z
dc.date.available2023-05-29T08:11:46Z
dc.date.issued2020
dc.descriptionDecision support systems; Glucose; Hospital data processing; Intensive care units; Physiological models; Stars; Stochastic control systems; Stochastic models; Stochastic systems; Clinical variable; Control of physiological; Control protocols; Decision supports; Glycemic control; Insulin sensitivity; Malaysians; Model-based OPC; Stochastic control; Stochastic-modeling; Insulinen_US
dc.description.abstractMaintaining healthy blood glucose (BG) levels is vital in ensuring the health of intensive care unit patients. In present work, there exists model-based glycemic control protocols that capture insulin-glucose dynamics that can provide patient-specific treatments. The Stochastic Targeted Glycemic Control (STAR) protocol is a model-based glycemic control protocol that utilizes stochastic modelling together with the Intensive Control Insulin Glycemic Control (ICING) model. STAR has shown its effectiveness in Christchurch and Hungary. However, it is currently less effective in Malaysia. A study is conducted to compare the stochastic model between the STAR original and Malaysian cohort to identify if the difference in effectiveness is due to a difference in stochastic insulin sensitivity (SI) models between cohorts. Results from this study show that there could be a difference of up to 49.4% in predictive ability of the stochastic models from the two cohorts, suggesting that it could play a role in being the cause for its lack in effectiveness. With further patient data collection, this hypothesis could be proven or otherwise eliminated from the possible causes for the lack of effectiveness of the STAR protocol in Malaysia. � 2020 Elsevier B.V.. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1016/j.ifacol.2020.12.436
dc.identifier.epage16148
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85119627760
dc.identifier.spage16143
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85119627760&doi=10.1016%2fj.ifacol.2020.12.436&partnerID=40&md5=7619e9125880566bad15c56aaaf8f573
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25617
dc.identifier.volume53
dc.publisherElsevier B.V.en_US
dc.relation.ispartofAll Open Access, Bronze
dc.sourceScopus
dc.sourcetitleIFAC-PapersOnLine
dc.titleAnalysis of Insulin Sensitivity Stochastic Models between STAR Original and Malaysian Cohortsen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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