Using pre-COVID Postprandial Plasma Glucose Data as the Baseline to Predict Postprandial Plasma Glucose Values in the COVID Period Applying the Higher Order Equations of Interpolation Perturbation Theory from Quantum Mechanics with two Perturbation Factors of Carbs/Sugar Intake Amount and Post-Meal Walking Steps Based on GH-Method: Math-Physical Medicine (No. 464)

Abstract

Gerald C Hsu

The author has applied the high-order interpolation perturbation theory from quantum mechanics to his medical research work and has written numerous articles on this topic. The high-order perturbation theory application includes the first-order, second-order, and third-order of a “perturbation factor” to generate three results with different prediction accuracies. Usually the higher order perturbation factor yields a higher prediction accuracy. In general, he identifies this type of problem using one “perturbation factor” only, such as carbs/sugar for postprandial plasma glucose (PPG) or body weight for fasting plasma glucose (FPG). In this article, he attempts two “perturbation factors” simultaneously to predict his future PPG based on carbs/sugar intake amount (carbs) and post-meal waking steps (walk), while using a previously collected PPG dataset as his baseline of calculation that is “initial condition”.

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