Modeling Of Causal Relationships Between Disease And Symptom In The Medicine

In the research areas of medicine ,biological ,social science research and so on,clarifing the causal relationships is the ultimate goal in many practical research. We can foresee the impact of some behavior and strategy on the study only by causal relationships. Take the relationships between disease and symptom for example,from the medical theories,doctors according to the different symptoms of the sicker to judge whether belong to the disease of Qiyinliangxu,so to make the decision of corresponding treatment. This shows that the different symptoms and Qiyinliangxu disease have the causal relationships. Although the general statistical methods such as the number of liner model can quantify the degree of correlation between the variables can not reflect this distinction:Diagnosis the sicker with Qiyinliangxu already have the possibility of some symptom and the sicker with some symptom have the possibility with Qiyinliangxu disease. Correlations between the variables take the observation data for study,but causal relationships not be decided by the correlation of data completely,so the research of causal relationships has the different significance.This paper will combine the figure causal model and the virtual reality model , establish a simple model of non-cycle with direction with corresponding virtual reality model to modeling of causal relationships between disease and symptom,and use this model between the disease of Qiyinliangxu and the symptom of touyun in the patients with diabetes,so to discuss how to use this model in the research of the impact between the disease of Qiyinliangxu and the symptom of touyun in this case.