Applying Data Mining in Analyzing the Co-occurrence and the Causality between Insomnia and Cardiovascular Disease or Cerebrovascular Disease
Date Issued
2010
Date
2010
Author(s)
Ko, Pei-Chun
Abstract
Sleep is a kind of instinct and basic needs. However, there were investigations showing that more and more people were suffering from insomnia. Chronic insomnia were more likely to affect the basic operation of the body, leading to increased risk of suffering from various diseases. Therefore, we aimed to provide the demographic data of insomnia in Taiwan and to determine whether insomnia is associated with cardiovascular disease or cerebrovascular disease, based on National Health Insurance Research Database which is a nationwide population-based database in Taiwan.
This study was divided into two parts: Epidemiological Analysis and Data Mining Analysis. We identified a total of 8,406 patients with insomnia were included in our study cohort. We randomly selected 42,030 subjects (5 for each insomnia patient) from the remaining patients in the data set as our control group that matched with the study group by sex and age. We provided the demographic data of insomnia in the part of epidemiological analysis. In the part of data mining analysis, we used bayesian network as a tool to analyze the causality between insomnia and cardiovascular disease or cerebrovascular disease.
There was significant gender difference in the prevalence of insomnia. Female/male ratios for insomnia are about 1.32. Female between 51 and 60 years are the high-risk group, and the average age of male is significantly greater than female. We concluded that patients with insomnia are at an increased risk for mental illness (OR=5~9), transient ischemic attack and vertebrobasilar insufficiency (OR=2.386), and coronary artery disease (OR=1.578).
Subjects
National Health Insurance Research Database(NHIRD)
data mining
Bayesian network
insomnia
SDGs
Type
thesis
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