Application of Perturbation Theory on Risk Assessments in Predicting Coronary Vascular Disease, Chronic Kidney Disease, and Diabetic Retinopathy using a Perturbation Factor of Combined Metabolism Index & Glucose Fluctuation over a Period of 11.5 years based on GH-Method: Math-Physical Medicine (No. 481)

Abstract

Gerald C Hsu

The author combined three of his recent articles, No. 420, 421, and 422, where he utilized perturbation theory, frequency domain energy theory, and linear elasticity theory to study and predict postprandial plasma glucose (PPG) behaviors and their impact on internal organs of Type 2 diabetes patients. They are based on a collected PPG dataset from 2,128 low-carbs meals and 1,090 high-carbs meals within a time period from 5/5/2018 to 3/27/2021. For over the past decade, he has used his developed GH-Method: math-physical medicine methodology for most of his medical research work including this study.

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