@inproceedings{0b6564e671e04647b76d54ad3924e85e,
title = "Parameter Estimation for a Jump Diffusion Model of Type 2 Diabetic Patients in the Presence of Unannounced Meals",
abstract = "A stochastic jump diffusion model for type 2 diabetes (T2D) patients is proposed to account for unknown meals during treatment. The model offers the chance to estimate parameters describing how often does the patient consume carbohydrates and how much is consumed. In addition, a strategy based on a Particle Markov chain Monte Carlo (PMCMC) method combined with parameter learning is proposed to estimate the stochastic parameters with continues glucose monitoring (CGM) data and injected insulin amounts only. The strategy was tested both for clinical and simulated data and was shown to be able to estimate all the stochastic parameters with various degrees of accuracy.",
author = "Ahdab, {Mohamad Al} and Milan Papez and Torben Knudsen and {Bjork Arad{\'o}ttir}, Tinna and Signe Schmidt and Kirsten N{\o}rgaard and John-Josef Leth",
year = "2021",
doi = "10.1109/CCTA48906.2021.9658718",
language = "English",
isbn = "978-1-6654-3644-1",
series = "IEEE Conference on Control Technology and Applications (CCTA) - Proceedings",
publisher = "IEEE",
pages = "176--183",
booktitle = "2021 IEEE Conference on Control Technology and Applications (CCTA)",
address = "United States",
note = "2021 IEEE Conference on Control Technology and Applications (CCTA) ; Conference date: 09-08-2021 Through 11-08-2021",
}