J Rhinol > Volume 22(1); 2015
Journal of Rhinology 2015;22(1):28-33.
Published online May 31, 2015.
DOI: https://doi.org/10.18787/jr.2015.22.1.28   
Methodology for Big Data Analysis Using Data from National Health Insurance Service: Preliminary Methodologic Study and Review about the Relationship between Sinus Surgery and Asthma
Seunghak Yu, Jaewoon Wee, Jeong Whun Kim, Sungroh Yoon
1Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea. sryoon@snu.ac.kr
2Department of Otorhinolaryngology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea. kimemail@naver.com
건강보험공단 자료를 이용한 빅데이터 자료분석 방법: 부비동염수술과 천식사이의 관련성에 대한 고찰과 분석을 위한 방법론
유승학, 위재운, 김정훈, 윤성로
서울대학교 공과대학 전기정보공학부,1 서울대학교 의과대학 분당서울대학교병원 이비인후과2
Abstract
Background and Objectives
Sinus surgery has been reported to improve pulmonary function and decrease the use of asthma medications in patients with chronic rhinosinusitis and asthma. Most studies, however, have used a small number of patients and were conducted over a short period. To demonstrate a causal relationship between sinus surgery and asthma, a sufficient amount of patient data observed over a long period is required. To address the limitations of the existing approaches, we conducted a preliminary methodological study for large-scale data analysis using data from the National Health Insurance Service (NHIS) to suggest a basis for the effect of sinus surgery on asthma.
Materials and Method
S: The data from NHIS consisted of unidentified medical histories of a sample cohort representing the whole nation over a period of nine years. We selected the following types of study samples: 1) patients with surgical codes for sinus surgery; 2) patients with disease codes for sinusitis; 3) patients with disease codes for asthma; and 4) patients with medication codes for asthma treatment.
Results
In this study, we applied a methodology for selection of subjects from big data to investigate the effect of sinus surgery on improving asthma in the future. We could include 152 subjects after the four-stage selection method from 1,025,340 patients.
Conclusion
We could establish a method to select patients with history of sinus surgery and asthma treatment from a big data. This methodology using big data may contribute to identify relationship between sinus surgery and asthma treatment in the future.
Key Words: Big data;Health insurance service;Relation study;Sinus surgery;asthma


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