Risk Probability of Having a Cardiovascular Disease or Stroke Using Annual Segmented Data of Glucose and Metabolism Index (GH Method: Math-Physical Medicine)

Abstract

In 2014, the author applied topology concept, finite-element engineering technique, and nonlinear algebra operations to develop a mathematical metabolism model which contains ten categories including four output categories (weight, glucose, BP, and other lab-tested data including lipid & ACR), and six input categories (food, water drinking, exercise, sleep, stress, routine life patterns and safety measures). These 10 metabolism categories include approximately 500 detailed elements. He further defined a new 
parameter referred to as the metabolism index (MI) that has a combined score of the above 10 metabolism categories with 500 elements.  Since 2012, he has collected and stored ~2 million data of his own body health conditions and personal lifestyle details.