Journal of Convergence for Information Technology (융합정보논문지)

Convergence Society for SMB (중소기업융합학회)
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Convergence Analysis of Risk factors for Readmission in Cardiovascular Disease: A Machine Learning Approach

의사결정나무분석을 이용한 심혈관질환자의 재입원 위험 요인에 대한 융합적 분석

  • Kim, Hyun-Su (Department of Nursing, KyungDong University)
  • Received : 2019.11.11
  • Accepted : 2019.12.20
  • Published : 2019.12.28
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Abstract

This is descriptive study to 2nd analysis data KNHANES IV-VI about risk factors of readmission among patients with cardiovascular disease. Among the total 65,973 adults, 1,037 with angina or myocardial infarction were analyzed. The analysis was conducted using SPSS window 21 Program and CHAID decision tree was used in the classification analysis. Root nodes are economic activity(χ2=12.063, p=.001), children's nodes are personal income(χ2=6.575, p=.031), weight change(χ2=12.758, p=.001), residential area(χ2=4.025, p=.045), direct smoking(χ2=3.884, p=.031). p=.049), level of education(χ2=9.630, p=.024). Terminal nodes are hypertension(χ2=3.854, p=.050), diabetes mellitus(χ2=6.056, p=.014), occupation type(χ2=7.799, p=.037). We suggest that the development and operation of programs considering the integrated approach of various factors is necessary for the readmission management of cardiovascular patients.

본 연구는 의사결정나무 통계분석법을 톨해 국민건강영양조사 자료를 2차 분석하여 심혈관질환자의 재입원 위험 요인을 확인하는 기초자료를 마련하고자 하였다. 연구대상자는 국민건강영양조사 4-6기 자료대상자 총 65,973명 중 협심증이나 심근경색 진단 병력이 있는 총 1,037명의 성인이며, SPSS window 21 Program을 이용하여 분류 분석 중 CHAID 의사결정나무 방법으로 분석하였다. 뿌리 마디(Root node)는 경제활동상태((χ2=12.063, p=.001), 자식 마디(Child node)는 개인 소득수준(χ2=6.575, p=.031), 최근 1년간 체중 변화(χ2=12.758, p=.001), 거주지역(χ2=4.025, p=.045), 직접흡연(χ2=3.884, p=.049), 교육수준(χ2=9.630, p=.024)으로 확인되었다. 끝마디(Terminal node)는 고혈압(χ2=3.854, p=.050), 당뇨(χ2=6.056, p=.014), 직업형태(χ2=7.799, p=.037)로 분석되었다. 이를 통해 심혈관질환자의 재입원 관리를 위해 다양한 요인의 통합적 접근을 고려한 프로그램의 개발 및 운영이 필요함을 제언한다.

Keywords

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