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oai:riuma.uma.es:10630/145962026-02-03T11:10:25Zcom_10630_2254col_10630_37953

Causal Modeling of the Glucose-Insulin System in Type-I Diabetic Patients Fernández, Javier Aguilar-Pérez, Natalia Fernández de Cañete, Rafael Ramos-Diaz, Juan Carlos Diabetes Causal modeling diabetes glucose-insulin system OpenModelica software In 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. Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. 2017-10-06T12:15:13Z 2017-10-06T12:15:13Z 2017 2017-10-06 journal article SMUR http://hdl.handle.net/10630/14596 http://orcid.org/0000-0001-9428-6713 eng ICBCBBE 2017 : 19th International Conference on Bioinformatics, Computational Biology and Biomedical Engineering Edinburgh (U.K.) 11/09/2017 by-nc-nd open access application/pdf