| Analysis of Coronary Vascular Diseases Associated with Atrial Fibrillation
Using Sequential Mining |
| 순차패턴 마이닝 기법을 이용한 심방세동과 관련된 심혈관질환의 양상분석 |
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조윤경; 김윤년; 김현태; 김인철; 김형섭; 남창욱; 한성욱; 허승호; 김권배; 박희준; 진종식 |
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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. |
| Key Words:
Atrial fibrillation, Mining, Sequential patterns |
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