순차패턴 마이닝 기법을 이용한 심방세동과 관련된 심혈관질환의 양상분석

Abstract

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.