Community and family medicine via doctors without distance: using a simple glucose control card to assist T2D patients in remote rural areas (GH-Method: math-physical medicine)

Abstract

from mathematics, physics, engineering and computer science, he developed a sophisticated computer software on the iPhone to predict his body weight, glucose, and HbA1C (A1C) with an accuracy greater than 95%, as well as his risk probability % of having cardiovascular disease (CVD), stroke, chronic kidney disease (CKD), diabetic retinopathy (DR), and pancreatic beta cells self-repair rate. He has used his developed MPM method and various tools to help himself and other T2D patients to keep their diabetes under control.