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Personalization of a Glucose-Insulin Model for Diabetic Patients | IEEE Conference Publication | IEEE Xplore

Personalization of a Glucose-Insulin Model for Diabetic Patients


Abstract:

Adaptive model predictive control methods are used to estimate the model parameters of an FDA-approved model of glucose-insulin interaction given patient blood glucose co...Show More

Abstract:

Adaptive model predictive control methods are used to estimate the model parameters of an FDA-approved model of glucose-insulin interaction given patient blood glucose concentration data. This process allows for personalization of the model for a given patient and allows the model to be used for further analysis such as medication dosing. The parameters are ranked in terms of the sensitivity of the model's output (glucose and insulin) to parameter variation. Using this ranking, adaptation is performed for the full set of parameters as well as a subset of the most sensitive parameters. The simulated glucose responses for the adapted parameters are compared to the patient data and to simulated glucose responses using the average diabetic parameters listed in the original model paper.
Date of Conference: 27-29 June 2018
Date Added to IEEE Xplore: 16 August 2018
ISBN Information:
Electronic ISSN: 2378-5861
Conference Location: Milwaukee, WI, USA

References

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