Illustration of Finger-Piercing Glucose Data Density Study for a Period of 8.6 Years from 1/1/2012 to 9/18/2021 of a type 2 Diabetes Patient Using Both Statistical Gaussian or Normal Distribution model and Biomedical TxR Analysis Model as Comparison Tools Based on GH-Method: Math-Physical Medicine (No. 520)

Abstract

Gerald C Hsu

Recently, the author conducted a series of medical research projects by applying a distributional data density analysis tool on his weight, glucose, blood pressure (BP), and heart conditions, while using his collected big data regarding certain biomarker’s density distribution for different timespans. With his personal collected data, he can interpret the results and explore additional information since he is most familiar with his own health conditions. Of course, these findings regarding his own body is also applicable to other patients with chronic diseases. The main purpose of writing this series of research articles is to further demonstrate the applicability and power of using this specific distributional data density analysis tool.

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