In the Oral Glucose Tolerance Test (OGTT), a patient, after an overnight fast ingests a load of glucose. Then measurements of glucose concentration are taken every 30 minutes during two hours. The test is used to aid diagnosis of diabetes, namely, type 2 diabetes mellitus and glucose intolerance. Several mathematical models have been introduced to describe the glucose-insulin system during an OGTT. Models consist on systems of differential equations where most parameters are unknown. Estimation of these parameters is an aim of this work. In a minimal model, two of such parameters are proposed for classification by means of a SVM technique. Consequently, a case is made for this classification as an aid for diagnosis.
@article{arxiv.1711.09002,
title = {Estimation and svm classification of glucose-insulin model parameters from OGTT data. An aid for diabetes diagnostics},
author = {Miguel Angel Moreles and Joaquin Peña and Paola Vargas and Adriana Monroy and Silvestre Alavez},
journal= {arXiv preprint arXiv:1711.09002},
year = {2017}
}