Relative changes of risks on having alzheimer’s dementia based on metabolism and lifestyle factors using GH-Method: math-physical medicine (No. 372)

Gerald C. Hsu
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Abstract

The author has been reading dementia articles for over the past two years. Recently, he read four articles about Alzheimer’s dementia (AD) diseases cited in References. 1–4 He was inspired by them and decided to utilize his developed GH-Method: math-physical medicine (MPM) and his collected big data of health conditions and lifestyle details to calculate his relative risk change in developing AD. This article applies many concepts, theories, and techniques from mathematics, physics, engineering, computer science and artificial intelligence, which the author learned in his lifetime. This big data analytics project contains 9 years of health conditions and lifestyle details. The basic concept of this article is similar to his previous research work and published articles regarding various relative changes of risk on having a cardiovascular disease (CVD), stroke, chronic kidney disease (CKD), and cancer. However, this specific article focuses on metabolism and certain lifestyle factors which influence AD. Over the past 11 years, the author has self-studied and conducted his own medical research with his developed MPM approach, where the original focus was diabetes and its related complications. However, he soon discovered that the root cause of his diabetes and
基于代谢和生活方式因素的阿尔茨海默病发病风险的相对变化——GH-Method:数理医学(No. 372)
在过去的两年里,作者一直在阅读有关痴呆症的文章。最近,他阅读了参考文献中引用的四篇关于阿尔茨海默氏痴呆症(AD)疾病的文章。1-4受到这些文章的启发,他决定利用他开发的GH-Method:数学物理医学(MPM)和他收集的健康状况和生活方式细节的大数据来计算他患AD的相对风险变化。本文运用了作者一生中学到的数学、物理、工程、计算机科学和人工智能等领域的许多概念、理论和技术。这个大数据分析项目包含了9年的健康状况和生活方式细节。这篇文章的基本概念与他之前的研究工作和发表的关于心血管疾病(CVD)、中风、慢性肾脏疾病(CKD)和癌症的各种相对风险变化的文章相似。然而,这篇文章的重点是代谢和某些生活方式因素影响AD。在过去的11年里,作者自学并开展了自己的医学研究,他开发了MPM方法,最初的重点是糖尿病及其相关并发症。然而,他很快就发现了他的糖尿病的根本原因
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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