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arXiv · 1711.09002

Estimation and svm classification of glucose-insulin model parameters from OGTT data. An aid for diabetes diagnostics

Miguel Angel Moreles·Joaquin Peña·Paola Vargas·Adriana Monroy·Silvestre Alavez
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Abstract

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.

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Miguel Angel Moreles, Joaquin Peña, Paola Vargas, Adriana Monroy, Silvestre Alavez. 2017-11-17. Estimation and svm classification of glucose-insulin model parameters from OGTT data. An aid for diabetes diagnostics. https://arxiv.org/abs/1711.09002

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