Developing data quality management algorithm for Hypertension Patients accompanied with Diabetes Mellitus By Data Mining

Kyu-Yeon Hwang; Eun-Sook Lee; Go-Won Kim; 홍성옥; 박정선; Misook Kwak; Ye-Jin Lee; Chae-Hyuk Im; Tae-Hyun Park; 박종호; 강성홍

Developing data quality management algorithm for Hypertension Patients accompanied with Diabetes Mellitus By Data Mining

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데이터 마이닝을 이용한 고혈압환자의 당뇨질환 동반에 관한 데이터 질 관리 알고리즘 개발

Type: Academic journal

Author: Kyu-Yeon Hwang Eun-Sook Lee Go-Won Kim 홍성옥 박정선 Misook Kwak Ye-Jin Lee Chae-Hyuk Im Tae-Hyun Park 박종호 강성홍

Journal: The Korea Society of Digital Policy & Management 디지털융복합연구 디지털융복합연구 제14권 제7호 KCI Accredited Journals

Published: 2016.1

Pages: 309 - 319 (11page)

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Developing data quality management algorithm for Hypertension Patients accompanied with Diabetes Mellitus By Data Mining

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There is a need to develop a data quality management algorithm in order to improve the quality of health care data. In this study, we developed a data quality control algorithms associated diseases related to diabetes in patients with hypertension. To make a data quality algorithm, we extracted hypertension patients from 2011 and 2012 discharge damage survey data. As the result of developing Data quality management algorithm, significant factors in hypertension patients with diabetes are gender, age, Glomerular disorders in diabetes mellitus, Diabetic retinopathy, Diabetic polyneuropathy, Closed [percutaneous] [needle] biopsy of kidney. Depending on the decision tree results, we defined Outlier which was probability values associated with a patient having diabetes corporal with hypertension or more than 80%, or not more than 20%, and found six groups with extreme values for diabetes accompanying hypertension patients. Thus there is a need to check the actual data contained in the Outlier(extreme value) groups to improve the quality of the data.

#데이터 마이닝 #데이터 질 관리 알고리즘 #Outlier Detection 방법론 #고혈압 #당뇨 #Data Mining #Data Quality Management Algorithm #Outlier Detection Method #Hypertension #Diabetes Mellitus

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Yoomi Kim / 2014 / Health Information Management, chapter 8, Secondary Data Sources

Korea Database Agency / 2010 / 2010 Data quality management maturity level research report :13

조인숙 / 2009 / 전자의무기록 데이터의 이차활용을 위한 구조화된 데이터 질에 대한 탐색 / Healthcare Informatics Research 15(4):423~431

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