Endocrinol Metab (Seoul). 2023;38(1):10-24.
Big Data Research in the Field of Endocrine Diseases Using the Korean National Health Information Database.
제1저자 조선욱, 김정희, 최한석 · 교신저자 김미경, 이은경
소속 (5)
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, Goyang, Korea.
- Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea.
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Korea.
- Department of Endocrinology and Metabolism, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
Abstract
The Korean National Health Information Database (NHID) contains big data combining information obtained from the National Health Insurance Service and health examinations. Data are provided in the form of a cohort, and the NHID can be used to conduct longitudinal studies and research on rare diseases. Moreover, data on the cause and date of death are provided by Statistics Korea. Research and publications based on the NHID have increased explosively in the field of endocrine disorders. However, because the data were not collected for research purposes, studies using the NHID have limitations, particularly the need for the operational definition of diseases. In this review, we describe the characteristics of the Korean NHID, operational definitions of endocrine diseases used for research, and an overview of recent studies in endocrinology using the Korean NHID.
Keywords
Databases, factualEndocrine system diseasesObesityOsteoporosisRepublic of KoreaThyroid diseases
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그림 출처: PubMed Central 공개 논문 (PMC10008661)
Conflict of interest statement
CONFLICTS OF INTEREST . No potential conflict of interest relevant to this article was reported.
그 밖의 정보
- 출판 형태
- Review, Journal Article
- 저널
- Endocrinology and metabolism (Seoul, Korea) · eISSN 2093-5978
- 전자 출판
- 2023-02-09
- MeSH
- Humans · Big Data* · Endocrine System Diseases* / epidemiology · Longitudinal Studies · Databases, Factual · Republic of Korea / epidemiology
- 참고문헌
- 90편