Approximated Risk Probability of having Atherosclerosis, Cardiovascular Disease, and Stroke during the COVID-19 Period Using the Pre-COVID PeriodS Dataset as Baseline of Calculations and Higher-Order Perturbation Equations from Quantum Mechanics Based on GH-Method: Math-Physical Medicine (No. 465)

Abstract

Gerald C Hsu

This paper describes the author’s assessment on his risk probability percentage of having atherosclerosis, cardiovascular disease (CVD), and stroke. During the 7-quarters of the COVID-19 period from 2/5/2020 to 11/4/2021, he utilized his earlier 7-quarters data from 5/5/2018 to 2/4/2020 or the “pre-COVID period” and higher-order perturbation theory. The purpose of this study is to predict the present and future period’s CVD/stroke risks based on the previous period’s CVD/stroke risks via an effective approximation method of perturbation theory. In summary, this approximation method of perturbation equation from quantum mechanics offers high prediction accuracies on the present and future period’s (the “COVID period”) risks using the past pre-COVID period’s dataset and waveform as baseline calculations. The three orders of perturbation equations have provided the following high prediction accuracies in comparison against the COVID period’s calculated risks which includes the past 5-quarters of calculated risks and the future 2-quarters speculated risks of the COVID period.

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