Four Clinical Cases Regarding the Estimation of Postprandial Plasma Glucose Upper-Bound Values from Sensor Measurements to Include both Different Stages of Initial Condition of Type 2 Diabetes and Hyperglycemic Control Efforts (GH-Method: Math-Physical Medicine)

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Gerald C. Hsu, Than Than Aye, Kyaw Sear Thet

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Published: 4 May 2020 | Article Type :

Abstract

The author developed his GH-Method: math-physical medicine (MPM) by applying mathematics, physics, engineering modeling, and computer science (big data analytics and AI) to derive the mathematical metabolism model. In this study, he utilized his MPM approach to investigate four clinical cases on the estimation of postprandial plasma glucose for the upper-bound values from sensor measurements along with the different stages of type 2 diabetes and hyperglycemic control.

Keywords: Type 2 diabetes, metabolism, metabolic conditions, sensor measurements, lifestyle data, artificial intelligence, hyperglycemia control, and math-physical medicine.

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Gerald C. Hsu, Than Than Aye, Kyaw Sear Thet. (2020-05-04). "Four Clinical Cases Regarding the Estimation of Postprandial Plasma Glucose Upper-Bound Values from Sensor Measurements to Include both Different Stages of Initial Condition of Type 2 Diabetes and Hyperglycemic Control Efforts (GH-Method: Math-Physical Medicine)." *Volume 3*, 1, 13-16