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KMID : 0980720080270010032
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Keimyung Medical Journal
2008 Volume.27 No. 1 p.32 ~ p.40
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Analysis of Coronary Vascular Diseases Associated with Atrial Fibrillation Using Sequential Mining
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Cho Yun-Kyeong
Kim Kwon-Bae
Kim Hyung-Seop
Nam Chang-Wook
Han Seong-Wook
Hur Seung-Ho
Kim Yoon-Nyun
Park Hee-Joon
Kim Hyun-Tae
Kim In-Cheol
Jin Jong-Sik
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Abstract
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There are few reports about the incidence of cardiovascular diseases related to atrial fibrillation. Also, the nature of diseases is changing according to social environment. Korea is moving from a developing country into a developed country. Therefore, the nature of diseases is becoming the pattern of developed country. The aim of this study was to analyze the relationship between atrial fibrillation and cardiovascular diseases which mostly occur in developed country at this point. By sequential data mining, we analyzed the medial records, which were collected retrospectively, to evaluate the relationship between atrial fibrillation and cardiovascular diseases. The common diseases highly related with atrial fibrillation were hypertension (30%), heart failure (28%) and stroke (20%). The cardiovascular diseases preceding atrial fibrillation were hypertension (11%), heart failure (10%) and stroke (8%). The cardiovascular diseases following atrial fibrillation were hypertension (10%), heart failure (8%) and stroke (6%). In this study, we could understand the relationship between atrial fibrillation and cardiovascular diseases. Further study could find the causal relationship between atrial fibrillation and cardiovascular diseases more specifically.
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KEYWORD
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Atrial Fibrillation, Mining, Sequential Patterns
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