Personalized glucose forecasting for type 2 diabetes using data assimilation
Type 2 diabetes leads to premature death and reduced quality of life for 8% of Americans.
Nutrition management is critical to maintaining glycemic control, yet it is difficult to achieve …
Nutrition management is critical to maintaining glycemic control, yet it is difficult to achieve …
Mathematical model of blood glucose dynamics by emulating the pathophysiology of glucose metabolism in type 2 diabetes mellitus
NE López-Palau, JM Olais-Govea - Scientific reports, 2020 - nature.com
Mathematical modelling has established itself as a theoretical tool to understand
fundamental aspects of a variety of medical-biological phenomena. The predictive power of …
fundamental aspects of a variety of medical-biological phenomena. The predictive power of …
Quantized sampled-data static output feedback control of the glucose–insulin system
In this paper, the plasma glucose regulation problem for type 2 diabetic patients is studied. A
nonlinear time-delay model of the glucose–insulin regulatory system is exploited to design a …
nonlinear time-delay model of the glucose–insulin regulatory system is exploited to design a …
A simple modeling framework for prediction in the human glucose-insulin system
In this paper, we build a new, simple, and interpretable mathematical model to estimate and
forecast physiology related to the human glucose-insulin system, constrained by available …
forecast physiology related to the human glucose-insulin system, constrained by available …
Dynamic modeling of glucose metabolism for the assessment of type II diabetes mellitus
O Vahidi - 2013 - open.library.ubc.ca
Diabetes mellitus is one of the deadliest diseases affecting millions of people worldwide.
Due to ethical issues, physiological restrictions and high expenses of human …
Due to ethical issues, physiological restrictions and high expenses of human …
Assessment of type II diabetes mellitus using irregularly sampled measurements with missing data
M Barazandegan, F Ekram, E Kwok, B Gopaluni… - Bioprocess and …, 2015 - Springer
Diabetes mellitus is one of the leading diseases in the developed world. In order to better
regulate blood glucose in a diabetic patient, improved modelling of insulin-glucose …
regulate blood glucose in a diabetic patient, improved modelling of insulin-glucose …
Offline and online data assimilation for real-time blood glucose forecasting in type 2 diabetes
We evaluate the benefits of combining different offline and online data assimilation
methodologies to improve personalized blood glucose prediction with type 2 diabetes self …
methodologies to improve personalized blood glucose prediction with type 2 diabetes self …
Simulation model of a patient with type 1 diabetes using fuzzification
T Zientarski, M Miłosz, T Nowicki… - Journal of Physics …, 2023 - iopscience.iop.org
Type 1 diabetes is one of the most common diseases. The disease is caused by a lack of
insulin secretion from the beta cells of the pancreas, which leads to improper regulation of …
insulin secretion from the beta cells of the pancreas, which leads to improper regulation of …
Haemoglobin response modelling under erythropoietin treatment: Physiological model‐informed machine learning method
Z Zhang, Z Li - The Canadian Journal of Chemical Engineering, 2023 - Wiley Online Library
Patients with renal anaemia are usually treated with recombinant human erythropoietin
(EPO) because of insufficient renal EPO secretion. The establishment of a good …
(EPO) because of insufficient renal EPO secretion. The establishment of a good …
[图书][B] An intelligent system model for diagnostic of human pancreatic cancer
MTA Bhuiyan - 2021 - search.proquest.com
Pancreatic Cancer is one of the lethal cancers in the world with vague symptoms and low
survival rates. It is the seventh leading cause of cancer-related deaths in the world and will …
survival rates. It is the seventh leading cause of cancer-related deaths in the world and will …