Mathematical Insights into Glycemic Regulation in Type-I Diabetes
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2024
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| _version_ | 1866901196760940544 |
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| author | Emily J. Wynter Sofia M. Moreno Lucas A. Rodriguez Julian S. Castillo |
| author_facet | Emily J. Wynter Sofia M. Moreno Lucas A. Rodriguez Julian S. Castillo |
| contents | <p>—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 glucose-insulin model parameters were adjusted to fit recorded mean data of a diabetic patient database. Model results under different conditions of a threemeal glucose and exogenous insulin ingestion patterns have been obtained. This simulation model can be useful to evaluate glucoseinsulin performance in several circumstances, including insulin infusion algorithms in open-loop and decision support systems in closed-loop</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19333417 |
| institution | Zenodo |
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| publishDate | 2024 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Mathematical Insights into Glycemic Regulation in Type-I Diabetes Emily J. Wynter Sofia M. Moreno Lucas A. Rodriguez Julian S. Castillo Causal modeling diabetes glucose-insulin system diabetes causal modeling OpenModelica software. <p>—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 glucose-insulin model parameters were adjusted to fit recorded mean data of a diabetic patient database. Model results under different conditions of a threemeal glucose and exogenous insulin ingestion patterns have been obtained. This simulation model can be useful to evaluate glucoseinsulin performance in several circumstances, including insulin infusion algorithms in open-loop and decision support systems in closed-loop</p> |
| title | Mathematical Insights into Glycemic Regulation in Type-I Diabetes |
| topic | Causal modeling diabetes glucose-insulin system diabetes causal modeling OpenModelica software. |
| url | https://doi.org/10.5281/zenodo.19333417 |