Bayesian Analysis of Glucose Dynamics during the Oral Glucose Tolerance Test (OGTT)

12/05/2020
by   Hugo Flores-Arguedas, et al.
0

In this paper, we propose a model of the dynamics of the blood glucose level during an Oral Glucose Tolerance Test (OGTT). This dynamic includes the action of insulin and glucagon in the glucose homeostasis process as the reaction of an oral stimulus. We propose a Bayesian approach in the inference of five parameters related to insulin secretion, glucagon secretion, gastrointestinal emptying, and basal glucose level. Two insulin indicators related to the glucose level in blood and in the gastrointestinal tract allow us to suggest a classification for patients with impaired insulin sensitivity.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
03/11/2023

Bayesian statistical models to explore the use glucometer measurements of capillary blood sugar for OGTT Tests

A common test for the diagnosis of type 2 diabetes is the Oral Glucose T...
research
10/14/2021

A Data Analysis Study on Human Liver Blood Circulation

The liver has a unique blood supply system and plays an important role i...
research
03/27/2019

Bayesian Experimental Design for Oral Glucose Tolerance Tests (OGTT)

OGTT is a common test, frequently used to diagnose insulin resistance or...
research
09/18/2022

Bayesian tolerance regions with an application to linear mixed models

We review and contrast frequentist and Bayesian definitions of tolerance...
research
10/25/2019

Portable system for the prediction of anemia based on the ocular conjunctiva using Artificial Intelligence

Anemia is a major health burden worldwide. Examining the hemoglobin leve...
research
08/10/2021

Matching Algorithms for Blood Donation

Global demand for donated blood far exceeds supply, and unmet need is gr...
research
01/31/2022

Continuous Forecasting via Neural Eigen Decomposition of Stochastic Dynamics

Motivated by a real-world problem of blood coagulation control in Hepari...

Please sign up or login with your details

Forgot password? Click here to reset