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Clinical Report Volume 10 Issue 2
A clinical report on the relationships between metabolism and obesity, type 2 diabetes, cardiovascular risk by using the GH-method: mathphysical medicine
Gerald C Hsu
Received: April 21, 2020 | Published: April 30, 2020
Citation: Hsu GC. A clinical report on the relationships between metabolism and obesity, type 2 diabetes, cardiovascular risk by using the GH-method: mathphysical medicine. Adv Obes Weight Manag Control. 2020;10(2):44-46. DOI: 10.15406/aowmc.2020.10.00304
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
©2020 Hsu. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.
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