Blood glucose level prediction with improved parameter identification methods

@article{Gyuk2017BloodGL,
  title={Blood glucose level prediction with improved parameter identification methods},
  author={Px00E9ter Gyuk and Istx00E1n Vassx00E1nyi and Istvx00E1n Kx00F3sa},
  journal={2017 IEEE 30th Neumann Colloquium (NC)},
  year={2017},
  pages={000085-000088}
}
Calculating the insulin need is an everyday task for diabetics. According to the surveys found in the literature, these estimations are sometimes inefficient in practice leading to critically high or low Blood Glucose Levels. Our goal is to make the life of these people easier by calculating their insulin need using a computer prediction model combined with a user-friendly interface. This paper proposes a prediction algorithm with parameter identification and also presents the validation of the… CONTINUE READING