Publication:
Investigation of glucose-insulin model efficacy for diabetes patient in the ICU

Simple item page
dc.citedby3
dc.contributor.authorAbdul Razak A.en_US
dc.contributor.authorAbu-Samah A.en_US
dc.contributor.authorRazak N.N.en_US
dc.contributor.authorAhamad N.en_US
dc.contributor.authorM. Suhaimi F.en_US
dc.contributor.authorJamaludin U.K.en_US
dc.contributor.authorMd Ralib A.en_US
dc.contributor.authorMat-Nor M.B.en_US
dc.contributor.authorid56960052400en_US
dc.contributor.authorid56719596600en_US
dc.contributor.authorid37059587300en_US
dc.contributor.authorid56960410200en_US
dc.contributor.authorid36247893200en_US
dc.contributor.authorid55330889600en_US
dc.contributor.authorid37031770900en_US
dc.contributor.authorid57226799207en_US
dc.date.accessioned2023-05-29T06:57:14Z
dc.date.available2023-05-29T06:57:14Z
dc.date.issued2018
dc.descriptionBiomedical engineering; Blood; Errors; Glucose; Insulin; Medical problems; Blood glucose; Critically-ill patients; Fitting error; Influential factors; Inter-relationships; Malaysians; Model-based OPC; Real time modeling; Patient treatmenten_US
dc.description.abstractThis paper investigates the inter-relationship of blood glucose (BG) model fitting error percentage for both diabetic and non-diabetic patient�s status with ICING glucose-insulin model efficacy. Data were taken from 132 critically ill patients admitted in ICU of Hospital Tunku Ampuan Afzan (HTAA), Kuantan, Malaysia. The BG fitting error results are important to determine the efficacy and safety of chosen glucose-insulin model-based. Analysis results of per-patient and by-cohort were used to suggest whether diabetes is an influential factor for model BG fitting error efficacy. For diabetic per-patient and by-cohort, median model fit error are 0.29 and 0.31% respectively Meanwhile, for non-diabetic per-patient and by-cohort model fit error are 0.27 and 0.29% respectively. In conclusion, results demonstrated no significant difference between diabetic and non-diabetic patient in model fitting error. Thus, ICING model may be used to deliver real time model-based insulin therapy whether patient is diabetic or non-diabetic. � 2018, Springer Science+Business Media Singapore.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-981-10-7554-4_31
dc.identifier.epage181
dc.identifier.scopus2-s2.0-85038081761
dc.identifier.spage177
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85038081761&doi=10.1007%2f978-981-10-7554-4_31&partnerID=40&md5=ee2ec95696ed24759db7369528d1976e
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24230
dc.identifier.volume67
dc.publisherSpringer Verlagen_US
dc.sourceScopus
dc.sourcetitleIFMBE Proceedings
dc.titleInvestigation of glucose-insulin model efficacy for diabetes patient in the ICUen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
Files
Collections
SCOPUS