원문정보
초록
영어
Objectives : There is a need to develop a data quality management algorithm to improve the quality of healthcare data using a data quality management system. In this study, we developed a data quality control algorithms associated with diseases related to hypertension in patients with diabetes mellitus. Methods : To make a data quality algorithm, we extracted the 2011 and 2012 discharge damage survey data from diabetes mellitus patients. Derived variables were created using the primary diagnosis, diagnostic unit, primary surgery and treatment, minor surgery and treatment items. Results : Significant factors in diabetes mellitus patients with hypertension were sex, age, ischemic heart disease, and diagnostic ultrasound of the heart. Depending on the decision tree results, we found four groups with extreme values for diabetes accompanying hypertension patients. Conclusions : There is a need to check the actual data contained in the Outlier (extreme value) groups to improve the quality of the data.
목차
Ⅰ. 서론
Ⅱ. 연구방법
1. 연구자료
2. 변수정의
3. 분석방법
Ⅲ. 연구결과
1. 분석대상자의 일반적 특성
2. 제 특성에 따른 고혈압 유무
3. 대화식 의사결정나무 기법 모형의 개발 및 평가
Ⅳ. 고찰
Ⅴ. 결론
REFERENCES