Comorbidity Study on Type 2 Diabetes Mellitus Using Data Mining
2
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Background/Aims: The aim of this study was to analyze comorbidity in patients with type 2 diabetes mellitus (T2DM) by using association rule mining (ARM). Methods: We used data from patients who visited Keimyung University Dongsan Medical Center from 1996 to 2007. Of 411,414 total patients, T2DM was present in 20,314. The Dx Analyze Tool was developed for data cleansing and data mart construction, and to reveal associations of comorbidity. Results: Eighteen associations reached threshold (support, ≥ 3%; confidence, ≥ 5%). The highest association was found between T2DM and essential hypertension (support, 17.43%; confidence, 34.86%). Six association rules were found among three comorbid diseases. Among them, essential hypertension was an important node between T2DM and stroke (support, 4.06%; confidence, 8.12%) as well as between T2DM and dyslipidemia (support, 3.44%; confidence, 6.88%). Conclusions: Essential hypertension plays an important role in the association between T2DM and its comorbid diseases. The Dx Analyze Tool is practical for comorbidity studies that have an enormous clinical database.
Abstract
Background/Aims: The aim of this study was to analyze comorbidity in patients with type 2 diabetes mellitus (T2DM) by using association rule mining (ARM). Methods: We used data from patients who visited Keimyung University Dongsan Medical Center from 1996 to 2007. Of 411,414 total patients, T2DM was present in 20,314. The Dx Analyze Tool was developed for data cleansing and data mart construction, and to reveal associations of comorbidity. Results: Eighteen associations reached threshold (support, ≥ 3%; confidence, ≥ 5%). The highest association was found between T2DM and essential hypertension (support, 17.43%; confidence, 34.86%). Six association rules were found among three comorbid diseases. Among them, essential hypertension was an important node between T2DM and stroke (support, 4.06%; confidence, 8.12%) as well as between T2DM and dyslipidemia (support, 3.44%; confidence, 6.88%). Conclusions: Essential hypertension plays an important role in the association between T2DM and its comorbid diseases. The Dx Analyze Tool is practical for comorbidity studies that have an enormous clinical database.
참고문헌 (17)
- 2007 National Health Statistics: National Health and Nutrition Examination Survey 4th, "Ministry of Health & Welfare", Korean Centers for Disease Control & Prevention, ~ (2008)
- 임수, "국내 3차 의료기관의 당뇨병 조절 상태 및 합병증 보고 - 2006∼2007 대한당뇨병학회 역학소위원회 -", Diabetes and Metabolism Journal, 33(1), pp.48~57 (2009), 대한당뇨병학회
- Bae HS, "Data Mining Using SAS Enterprise Miner. 2nd ed" (2008), Kyowoosa
- Agrawal R, "Mining association rules between sets of items in large databases", Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, pp.207~216 (1993), ACM
- Tai YM, "Comorbidity study of ADHD: applying association rule mining (ARM) to National Health Insurance Database of Taiwan", Int J Med Inform, 78, pp.e75~e83 (2009)
- 이인희, "데이터 마이닝을 활용한 뇌경색증과 동반되는 질환의 연관성 분석", 대한물리치료학회지, 22(1), pp.75~81 (2010), 대한물리치료학회
- "Association rule learning" (2012)[URL]
- Kang HC, "Data Mining with SAS Enterprise Miner 4.0: Methodology and Application. 3rd ed" (2002), Jayuacademi
- Heo MH, "Data Mining Modeling and Case. 2nd ed" (2008), Hannarae
- 박희준, "Diagnostic Analysis of Patients with Essential Hypertension Using Association Rule Mining", Healthcare Informatics Research, 16(2), pp.77~81 (2010), 대한의료정보학회
- 정혜수, "제2형 당뇨병환자에서 대사증후군과 만성 합병증과의 관계", Diabetes and Metabolism Journal, 33(5), pp.392~400 (2009), 대한당뇨병학회
- 김태호, "제2형 당뇨병환자에서 대사증후군의 유병률", Diabetes and Metabolism Journal, 33(1), pp.40~47 (2009), 대한당뇨병학회
- 안희정, "제2형 당뇨병환자에서 식사의 규칙성을 중심으로 한 식습관 실태 분석", Diabetes and Metabolism Journal, 32(1), pp.68~76 (2008), 대한당뇨병학회
- 김신곤, "특집", 우리나라 당뇨병의 현황, 2008, pp.51(9), 791~798[DOI]
- 박상신, "백내장과 대사증후군의 관련성-2005, 2007년 국민건강영양조사 이용", 한국안광학회지, 14(3), pp.103~108 (2009), 한국안광학회
- 박수경, "제2형 당뇨병환자의 사망원인에 대한 10년간의 추세 변화 -부산 시내 6개 종합병원을 중심으로-", Diabetes and Metabolism Journal, 33(1), pp.65~72 (2009), 대한당뇨병학회
- Lipscombe LL, "The risk of hip fractures in older individuals with diabetes: a population- based study", Diabetes Care, 30, pp.835~841 (2007)