医学中关于症型和症状之间因果关系的建模
发布时间：2018-07-24 21:02
【摘要】： 在医学,生物,社会科学等研究领域,阐明因果关系已成为许多实际研究中的最终目的,只有通过因果关系才能够预见某些行为或策略对研究对象的影响。以研究气阴两虚症型和症状之间的关系为例,从医学理论而言,医生根据病人不同的症状表现判断病人是否属于气阴两虚症型,从而决定相应的治疗方法。可见,不同症状和气阴两虚症型之间具有因果关系。但一般的统计方法如对数线性模型虽然可以量化变量之间的关联程度,却不能体现出这样一种区别:已经诊断为具有气阴两虚症型的病人具有某一症状的可能性,以及具有某一症状的病人被诊断为具有气阴两虚症型的可能性。变量间的相关性是以观察数据为研究对象,而因果关系并不完全由数据间的相关性决定,所以对因果关系的研究具有不同的意义。 本文将因果图模型和虚拟事实模型结合起来,对一种简单的有向非循环因果图建立相应的虚拟事实模型。从而对医学中关于症型和症状之间的因果关系进行建模,并且将此模型用于糖尿病患者气阴两虚症型和头晕症状的关系,以此讨论如何将这种模型用于研究在这种病例中气阴两虚症型对头晕症状的影响程度。
[Abstract]:In the fields of medicine, biology, social science and so on, clarifying causality has become the ultimate goal of many practical researches. Only through causation can we foresee the influence of certain behaviors or strategies on the research object. Taking the study of the relationship between deficiency of qi and yin and symptoms as an example, according to the medical theory, doctors judge whether the patients belong to the syndrome of deficiency of qi and yin according to the different symptoms of the patients, and decide the corresponding treatment methods. It can be seen that there is a causal relationship between different symptoms and deficiency of qi and yin. But general statistical methods, such as logarithmic linear models, which can quantify the degree of correlation between variables, do not reflect the difference: the possibility of a certain symptom in a patient who has been diagnosed as having deficiency of both qi and yin. And the possibility that a patient with a certain symptom is diagnosed with deficiency of Qi and Yin. The correlation between variables is based on observational data, but causality is not entirely determined by the correlation between data, so the study of causality has different meanings. In this paper, the causal graph model and the virtual fact model are combined to establish the corresponding virtual fact model for a simple directed acyclic causality graph. The causal relationship between symptoms and symptoms was modeled in medicine, and the model was applied to the relationship between deficiency of qi and yin and dizziness in patients with diabetes mellitus. This paper discusses how this model can be used to study the influence of deficiency of qi and yin on dizziness in this case.
【学位授予单位】：华中师范大学
【学位级别】：硕士
【学位授予年份】：2008
【分类号】：R311
本文编号：2142648
[Abstract]:In the fields of medicine, biology, social science and so on, clarifying causality has become the ultimate goal of many practical researches. Only through causation can we foresee the influence of certain behaviors or strategies on the research object. Taking the study of the relationship between deficiency of qi and yin and symptoms as an example, according to the medical theory, doctors judge whether the patients belong to the syndrome of deficiency of qi and yin according to the different symptoms of the patients, and decide the corresponding treatment methods. It can be seen that there is a causal relationship between different symptoms and deficiency of qi and yin. But general statistical methods, such as logarithmic linear models, which can quantify the degree of correlation between variables, do not reflect the difference: the possibility of a certain symptom in a patient who has been diagnosed as having deficiency of both qi and yin. And the possibility that a patient with a certain symptom is diagnosed with deficiency of Qi and Yin. The correlation between variables is based on observational data, but causality is not entirely determined by the correlation between data, so the study of causality has different meanings. In this paper, the causal graph model and the virtual fact model are combined to establish the corresponding virtual fact model for a simple directed acyclic causality graph. The causal relationship between symptoms and symptoms was modeled in medicine, and the model was applied to the relationship between deficiency of qi and yin and dizziness in patients with diabetes mellitus. This paper discusses how this model can be used to study the influence of deficiency of qi and yin on dizziness in this case.
【学位授予单位】：华中师范大学
【学位级别】：硕士
【学位授予年份】：2008
【分类号】：R311
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