h- method研究人员复杂模型与患者简化模型有效健康年龄的比较:数理医学(第323期)

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引用次数: 1

摘要

这是作者就与老年医学分支有关的有效健康年龄(“健康年龄”)主题撰写的第四篇文章。最初,他使用的是新陈代谢指数数据,这些数据是通过一个为研究人员设计的复杂软件收集和处理的。后来,他为其他患者在iPhone上开发了一个简化的APP。本文具体讨论了基于代谢指标和估计健康年龄的健康输入数据和输出结果在这两个不同软件版本之间的差异。用两种不同的计算机软件版本对健康年龄的估计差异进行了比较研究。这一发现表明,他的慢性软件版本的复杂代谢模型在估计他的健康年龄时,比简化的APP版本多出1.4%的准确率。作者并不是用水晶球来预测自己或他人未来寿命的算命先生。相反,他是一位科学家,他运用扎实而复杂的科学技术,如具有生物医学证据的数学物理医学,开发出一个简单的算术公式,可以作为一个有用的工具,为普通大众保持健康和实现他们想要的长寿。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of effective health ages between the sophisticated model for researchers and simplified model for patients using GH-Method: math-physical medicine (No. 323)
This is the fourth article the author has written regarding the subject of effective health age (“Health Age”) related to the medical branch of geriatrics. Originally, he used his metabolism indexes data which were collected and processed via a sophisticated software for researchers. Later, he developed a simplified APP on the iPhone for other patients. This specific article discusses the differences of health input data and output results based on metabolism indexes and estimated health ages between these two different software versions. A comparison study between the difference of estimated health ages by using two different computer software versions was completed. The finding indicates that the complex metabolism model of his chronic software version would gain an extra 1.4% of accuracy on estimating his health age when compared to the simplified APP version. The author is not a fortune teller who uses a crystal ball to predict his or other people’s future life expectancy. Rather, he is a scientist who applies solid and sophisticated scientific techniques, such as math-physical medicine with biomedical evidence, to develop a simple arithmetical formula which can serve as a useful tool for the general population to maintain their health and achieve their desired longevity.
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