Progressive Behavior Modification for Diabetes Patients Based on the GH-Math-Physical Medicine Method Along with the Psychological and Physiological Linkage Pattern Analysis

Gerald C. Hsu
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引用次数: 2

Abstract

The author self-studied abnormal (traumatized) and behavior psychology for nine years and he also conducted his own research on endocrinology including chronic diseases, especially diabetes, for another nine years. 1.1. He has contemplated a specific question “Why do some type 2 diabetes (T2D) patients choose to face serious complications, including death, rather than change their lifestyle in order to control their diabetic conditions?” 1.2. T2D patients have faced three major challenges 1.2.1. Availability of accurate disease information with either physical evidence or quantitative proof, not just some general qualitative descriptions that may include either false or commercial driven purpose over the internet (knowledge issue). 1.2.2. Awareness of disease status and then be able to overcome “self-denial” to move onto “psychological acceptance” state in order to take effective action. The most difficult barriers are having willpower, determination, and persistence on lifestyle change (psychology issues). 1.2.3. A non-invasive, effective, and ease-of-use artificial intelligence technology (AI) based tool to accurately predict outcomes and also guide patients (technology issue). His previous three specific papers in this area have already addressed the general understanding of the possible reasoning from a behavior psychology viewpoint by using wave theory, energy theory, frequency domain analysis (Fourier Transform), and segmentation pattern analysis. In those papers he also linked the patient’s psychological issues and diabetes physiological characteristics together in a mathematical and quantitative manner. From his T2D clinical cases, he was able to identify some of those patients’ key personality traits and psychological behavior patterns. In this paper, he further tries to offer a few practical “tips” in order to help diabetes patients to control their disease. He named his approach as the “Progressive Behavior Modification” which is also a part of the generalized “MPM: Mentality-Personality Modeling”.
基于gh -数学-物理医学方法的糖尿病患者渐进式行为矫正及心理生理联动模式分析
他自学了9年的异常(创伤)心理学和行为心理学,并在另外9年里进行了以糖尿病为中心的慢性疾病等内分泌学的研究。1.1. 他思考了一个具体的问题:“为什么一些2型糖尿病患者选择面对严重的并发症,包括死亡,而不是改变他们的生活方式来控制他们的糖尿病病情?”“1.2。t2dm患者面临三大挑战:提供准确的疾病信息,包括实物证据或定量证据,而不仅仅是一些一般性的定性描述,其中可能包括互联网上的虚假或商业目的(知识问题)。1.2.2。意识到疾病状况,才能克服“自我否定”,进入“心理接纳”状态,才能采取有效的行动。最困难的障碍是有意志力、决心和坚持改变生活方式(心理问题)。一种非侵入性、有效且易于使用的基于人工智能技术(AI)的工具,可准确预测结果并指导患者(技术问题)。他在这一领域的前三篇论文已经从行为心理学的角度,通过使用波动理论、能量理论、频域分析(傅立叶变换)和分割模式分析,阐述了对可能推理的一般理解。在那些论文中,他还以数学和定量的方式将患者的心理问题和糖尿病的生理特征联系在一起。从他的T2D临床病例中,他能够识别出这些患者的一些关键人格特征和心理行为模式。在这篇论文中,他进一步尝试提供一些实用的“技巧”,以帮助糖尿病患者控制他们的疾病。他将自己的方法命名为“渐进式行为修正”,这也是广义的“MPM:心理-人格建模”的一部分。
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