Modelica Models and Jupyter Notebooks for System Analysis of Glucose Insulin Regulation

This dataset contains source code of Modelica models of Glucose-Insulin regulation using different techniques.

Accompanying Jupyter notebook is demo for system analysis (parameter estimation) of artificial data and to match model simulation able to be used in Teaching class.

ModelicaIdentification.ipynb - default notebook - code contains ellipsis which needs to be replaced as per instruction in text

ModelicaIdentificationResolution.ipynb - notebook - code with exemplar solution to default notebook

glucoseinsulin.mo - Modelica source code

PatientInsulinConcentration.csv - sample data to be fitted against model

seminar11hw.GIExperiment.fmu - FMU exported from Modelica in order to run simulation in Python and PyFMI library

Thanks to the MYBINDER service, the Jupyter notebook can be viewed and executed as

https://mybinder.org/v2/zenodo/10.5281/zenodo.3633324/ note that you need to launch terminal first in Jupyter -> New -> Terminal and install pyfmi and matplotlib by:

conda install -c conda-forge pyfmi matplotlib

Most recent version with other models and notebooks https://mybinder.org/v2/gh/creative-connections/Bodylight-notebooks/master?filepath=Seminar11GlucoseInsulinIdentification/