Current Trends of Big Data Research Using the Korean National Health Information Database
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Mee Kyoung | - |
dc.contributor.author | Han, Kyungdo | - |
dc.contributor.author | Lee, Seung-Hwan | - |
dc.date.accessioned | 2022-12-16T03:40:11Z | - |
dc.date.available | 2022-12-16T03:40:11Z | - |
dc.date.created | 2022-12-01 | - |
dc.date.issued | 2022-07 | - |
dc.identifier.issn | 2233-6079 | - |
dc.identifier.uri | http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/42850 | - |
dc.description.abstract | Recently, medical research using big data has become very popular, and its value has become increasingly recognized. The Korean National Health Information Database (NHID) is representative of big data that combines information obtained from the Na-tional Health Insurance Service collected for claims and reimbursement of health care services and results obtained from general health examinations provided to all Korean adults. This database has several strengths and limitations. Given the large size, vari-ous laboratory data, and questionnaires obtained from medical check-ups, their longitudinal nature, and long-term accumulation of data since 2002, carefully designed studies may provide valuable information that is difficult to obtain from other forms of re-search. However, consideration of possible bias and careful interpretation when defining causal relationships is also important be-cause the data were not collected for research purposes. After the NHID became publicly available, research and publications based on this database have increased explosively, especially in the field of diabetes and metabolism. This article reviews the histo-ry, structure, and characteristics of the Korean NHID. Recent trends in big data research using this database, commonly used op-erational diagnosis, and representative studies have been introduced. We expect further progress and expansion of big data re-search using the Korean NHID. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | KOREAN DIABETES ASSOC | - |
dc.relation.isPartOf | DIABETES & METABOLISM JOURNAL | - |
dc.title | Current Trends of Big Data Research Using the Korean National Health Information Database | - |
dc.type | Article | - |
dc.identifier.doi | 10.4093/dmj.2022.0193 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | DIABETES & METABOLISM JOURNAL, v.46, no.4, pp.552 - 563 | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000880817900004 | - |
dc.identifier.scopusid | 2-s2.0-85135292519 | - |
dc.citation.endPage | 563 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 552 | - |
dc.citation.title | DIABETES & METABOLISM JOURNAL | - |
dc.citation.volume | 46 | - |
dc.contributor.affiliatedAuthor | Han, Kyungdo | - |
dc.identifier.url | https://www.e-dmj.org/journal/view.php?doi=10.4093/dmj.2022.0193 | - |
dc.type.docType | Review | - |
dc.description.isOpenAccess | Y | - |
dc.subject.keywordAuthor | Database | - |
dc.subject.keywordAuthor | Diabetes mellitus | - |
dc.subject.keywordAuthor | Korea | - |
dc.subject.keywordAuthor | Metabolism | - |
dc.subject.keywordAuthor | National health programs | - |
dc.subject.keywordPlus | BLOOD-PRESSURE | - |
dc.subject.keywordPlus | CARDIOVASCULAR OUTCOMES | - |
dc.subject.keywordPlus | MYOCARDIAL-INFARCTION | - |
dc.subject.keywordPlus | RISK | - |
dc.subject.keywordPlus | MORTALITY | - |
dc.subject.keywordPlus | VARIABILITY | - |
dc.subject.keywordPlus | INSURANCE | - |
dc.subject.keywordPlus | DISEASE | - |
dc.subject.keywordPlus | ADULTS | - |
dc.relation.journalResearchArea | Endocrinology & Metabolism | - |
dc.relation.journalWebOfScienceCategory | Endocrinology & Metabolism | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Soongsil University Library 369 Sangdo-Ro, Dongjak-Gu, Seoul, Korea (06978)02-820-0733
COPYRIGHT ⓒ SOONGSIL UNIVERSITY, ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.