Physiology-Guided Blood Glucose Predictive Model Using Minimal Blood Glucose Dynamics

Sarala Ghimire, Turgay Celik, Martin Gerdes, Christian W. Omlin

2025

Abstract

Modelling blood glucose and insulin dynamics using mathematical equations requires a deep understanding of individual physiology and relying on numerous predefined parameters necessitating extensive clinical and personal data, making direct use of these models for blood glucose prediction computationally intensive and inaccurate. Though data-driven models are more efficient and require no individual physiology, they produce predictions that are inconsistent with known glucose-insulin interactions. Thus, this study aims to investigate the potentiality of physiological models integrated with data-driven approach for predicting blood glucose level. It intends to extract simple physiological dynamics of blood glucose kinetics and incorporate them into a data-driven model, with less reliance on detailed individual data. The result demonstrated that the model integrating physiological modelling of insulin and meal absorption significantly improved the performance particularly in larger window size that enabled the model to better capture longer-term trends and temporal dependencies.

Paper Citation

in Harvard Style

Ghimire S., Celik T., Gerdes M. and Omlin C. (2025). Physiology-Guided Blood Glucose Predictive Model Using Minimal Blood Glucose Dynamics. In Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF; ISBN 978-989-758-731-3, SciTePress, pages 984-990. DOI: 10.5220/0013395200003911

in Bibtex Style

@conference{healthinf25,
author={Sarala Ghimire and Turgay Celik and Martin Gerdes and Christian Omlin},
title={Physiology-Guided Blood Glucose Predictive Model Using Minimal Blood Glucose Dynamics},
booktitle={Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF},
year={2025},
pages={984-990},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013395200003911},
isbn={978-989-758-731-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF
TI - Physiology-Guided Blood Glucose Predictive Model Using Minimal Blood Glucose Dynamics
SN - 978-989-758-731-3
AU - Ghimire S.
AU - Celik T.
AU - Gerdes M.
AU - Omlin C.
PY - 2025
SP - 984
EP - 990
DO - 10.5220/0013395200003911
PB - SciTePress