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dc.contributor.authorFernández, Javier
dc.contributor.authorAguilar-Pérez, Natalia
dc.contributor.authorFernández de Cañete, Rafael
dc.contributor.authorRamos-Diaz, Juan Carlos
dc.date.accessioned2017-10-06T12:15:13Z
dc.date.available2017-10-06T12:15:13Z
dc.date.created2017
dc.date.issued2017-10-06
dc.identifier.urihttp://hdl.handle.net/10630/14596
dc.description.abstractIn this paper, a simulation model of the glucoseinsulin system for a patient undergoing diabetes Type 1 is developed by using a causal modeling approach under system dynamics. The OpenModelica simulation environment has been employed to build the so called causal model, while the glucoseinsulin model parameters were adjusted to fit recorded mean data of a diabetic patient database. Model results under different conditions of a three-meal glucose and exogenous insulin ingestion patterns have been obtained. This simulation model can be useful to evaluate glucose-insulin performance in several circumstances, including insulin infusion algorithms in open-loop and decision support systems in closed-loop.es_ES
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.es_ES
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectDiabeteses_ES
dc.subject.otherCausal modelinges_ES
dc.subject.otherdiabeteses_ES
dc.subject.otherglucose-insulin systemes_ES
dc.subject.otherOpenModelica softwarees_ES
dc.titleCausal Modeling of the Glucose-Insulin System in Type-I Diabetic Patientses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.centroEscuela de Ingenierías Industrialeses_ES
dc.relation.eventtitleICBCBBE 2017 : 19th International Conference on Bioinformatics, Computational Biology and Biomedical Engineeringes_ES
dc.relation.eventplaceEdinburgh (U.K.)es_ES
dc.relation.eventdate11/09/2017es_ES
dc.identifier.orcidhttp://orcid.org/0000-0001-9428-6713es_ES
dc.cclicenseby-nc-ndes_ES
dc.type.hasVersioninfo:eu-repo/semantics/submittedVersiones_ES


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