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A clinical report on the relationships between metabolism and obesity, type 2 diabetes, cardiovascular risk by using the GH-method: mathphysical medicine


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Abstract

The author developed his GH-Method: math-physical medicine (MPM) by applying mathematics, physics, engineering modeling, and computer science (big data analytics and AI) to derive the mathematical metabolism model and three prediction tools for weight, FPG, and PPG with >30 input elements.This study includes 11 categories: weight, glucose, blood pressure, lipids, food, water, exercise, sleep, stress, life pattern regularity, time with ~500 input and output elements.He collected more than 1 million “clean” data over 7 years.

Keywords

type 2 diabetes, cardiovascular risk, obesity, metabolism, metabolic conditions, chronic diseases, lifestyle data, artificial intelligence and math-physical medicine

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