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Journal of Applied Material Science & Engineering Research(AMSE)

ISSN: 2689-1204 | DOI: 10.33140/AMSE

Impact Factor: 1.08

Improvement on the Prediction Accuracy of Postprandial Plasma Glucose Using Two Biomedical Coefficients of GH-Modulus from Linear Elastic Glucose Theory Based on GH-Method: Math-Physical Medicine, Part 6 (No. 358)

Abstract

Gerald C Hsu

This article is Part 6 of the author’s linear elastic glucose behavior study, which focuses on the prediction accuracy of postprandial plasma glucose (PPG) over the pre-virus period, from 9/1/2015 to 12/31/2019, and the COVID-19 virus period, from 1/1/2020 to 11/6/2020. This research is the continuation of his previous five studies on linear elastic glucose behaviors. As a comparison, this study also utilized his developed artificial intelligence (AI) software to predict his PPG values.

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