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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2010.1
- 수록면
- 77 - 81 (5page)
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초록· 키워드
오류제보하기
Objectives: The purpose of this study was to analyze the records of patients diagnosed with essential hypertension using association rule mining (ARM). Methods: Patients with essential hypertension (ICD code, I10) were extracted from a hospital's data warehouse and a data mart constructed for analysis. Apriori modeling of the ARM method and web node in the Clementine 12.0 program were used to analyze patient data. Results: Patients diagnosed with essential hypertension totaled 5,022 and the diagnostic data extracted from those patients numbered 53,994. As a result of the web node, essential hypertension, non-insulin dependent diabetes mellitus (NIDDM), and cerebral infarction were shown to be associated. Based on the results of ARM, NIDDM (support, 35.15%; confidence, 100%) and cerebral infarction (support, 21.21%; confidence, 100%) were determined to be important diseases associated with essential hypertension. Conclusions: Essential hypertension was strongly associated with NIDDM and cerebral infarction. This study demonstrated the practicality of ARM in co-morbidity studies using a large clinic database.
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등록된 정보가 없습니다.
참고문헌 (13)
참고문헌 신청
Bae HS / 2008 / Data mining using SAS Enterprise Miner. 2nd ed / Kyowoosa : 80 ~ 86
Chobanian AV / 2003 / Seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure / Hypertension 42 : 1206 ~ 12
Choi JW / 2001 / The analysis of clinical information by building the clinical data warehouse / J Korean Soc Med Inform 7 : 114 ~ 11
Heo MH / 2008 / Data mining modeling and case. 2nd ed / Hannarae : 171 ~ 250
Hwang EH / 2003 / The study of risk factors of the disease worse due to hypertension and management aspect / Kangwon National Univ
Chobanian AV / 2003 / Seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure / Hypertension 42 : 1206 ~ 12
Choi JW / 2001 / The analysis of clinical information by building the clinical data warehouse / J Korean Soc Med Inform 7 : 114 ~ 11
Heo MH / 2008 / Data mining modeling and case. 2nd ed / Hannarae : 171 ~ 250
Hwang EH / 2003 / The study of risk factors of the disease worse due to hypertension and management aspect / Kangwon National Univ
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