数理医学方法学(GH-Method)

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摘要

本文讨论了医学研究中的一种非传统方法论——“数理医学”方法。作者以自己的2型糖尿病(T2D)代谢条件控制为例,对该方法进行了详细的说明和解释。数学物理医学从观察人体的物理现象(不是生物或化学特征)开始,收集疾病相关数据的元素(更倾向于大数据),利用适用的工程建模技术,建立适当的数学方程(不仅仅是统计分析),最后预测疾病的发展方向和控制机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methodology of Math-Physical Medicine (GH-Method)
This paper discusses the “math-physical medicine (MPM)” approach of a non-traditional methodology in medical research. The author uses his own type 2 diabetes (T2D) metabolic conditions control as a case study for some detailed illustration and explanation of this methodology. Math-physical medicine starts with the observation of the human body’s physical phenomena (not biological or chemical characteristics), collecting elements of the disease related data (preferring big data), utilizing applicable engineering modeling techniques, developing appropriate mathematical equations (not just statistical analysis), and finally predicting the direction of the development and control mechanism of the disease.
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