PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
Diabetes & Metabolism Journal10.4093/dmj.2022.01932022464552-563Current Trends of Big Data Research Using the Korean National Health Information DatabaseMee Kyoung Kim, Kyungdo Han, Seung-Hwan Leehttp://e-dmj.org/upload/pdf/dmj-2022-0193.pdf, http://e-dmj.org/journal/view.php?doi=10.4093/dmj.2022.0193, http://e-dmj.org/upload/pdf/dmj-2022-0193.pdf
2021 IEEE International Conference on Big Data (Big Data)10.1109/bigdata52589.2021.96717042021Database Systems and Information Management – Trends and a Visionhttp://xplorestaging.ieee.org/ielx7/9671263/9671273/09671704.pdf?arnumber=9671704
Osong Public Health and Research Perspectives10.24171/j.phrp.2018.9.5.06201895248-254Changing Disease Trends in the Northern Gyeonggi-do Province of South Korea from 2002 to 2013: A Big Data Study Using National Health Information Database CohortYoung Soo Kim, Dong-Hee Lee, Hiun Suk Chae, Kyungdo Hanhttp://www.kcdcphrp.org/upload/phrp-9-5/ophrp-09-0248.pdf, http://www.kcdcphrp.org/journal/view.html?doi=10.24171/j.phrp.2018.9.5.06, http://www.kcdcphrp.org/upload/phrp-9-5/ophrp-09-0248.pdf
Korean Journal of Anesthesiology10.4097/kja.201292020733205-211Introducing big data analysis using data from National Health Insurance ServiceEunJin Ahnhttp://ekja.org/upload/pdf/kja-20129.pdf, http://ekja.org/journal/view.php?doi=10.4097/kja.20129, http://ekja.org/upload/pdf/kja-20129.pdf
Trends in Computer Science and Information Technology10.17352/tcsit.000002201611012-017Leveraging Data Analytics by Transforming Relational Database Schema in to Big DataM Ahmadhttps://www.peertechzpublications.com/articles/TCSIT-1-102.pdf
Korean Circulation Journal10.4070/kcj.2020.01712020509754Cardiovascular Research Using the Korean National Health Information DatabaseEue-Keun Choihttps://e-kcj.org/pdf/10.4070/kcj.2020.0171, https://e-kcj.org/DOIx.php?id=10.4070/kcj.2020.0171, https://e-kcj.org/DOIx.php?id=10.4070/kcj.2020.0171
2021 IEEE International Conference on Big Data (Big Data)10.1109/bigdata52589.2021.96717462021Case Study of Mobility Trends in Daily Life in a Motorized City Using Spatiotemporal InformationYasuko Kawahatahttp://xplorestaging.ieee.org/ielx7/9671263/9671273/09671746.pdf?arnumber=9671746
Value in Health10.1016/j.jval.2019.04.1770201922S362PRS66 A COST ANALYSIS OF CURRENT SITUATION OF PNEUMONIA TREATMENT IN CHINA: A BIG-DATA HOSPITAL INFORMATION SYSTEM (HIS) DATABASE ANALYSISY. Huang, C. Wang, X. Xue, G. Wu, J. Lihttps://api.elsevier.com/content/article/PII:S109830151931962X?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S109830151931962X?httpAccept=text/plain
Health Informatics10.1007/978-3-319-53300-1_152017287-299Big Data Analytics Using the VA’s ‘VINCI’ Database to Look at DeliriumCharlene Weir, Joanne LaFluer, Bryan Gibson, Qing Zenghttp://link.springer.com/content/pdf/10.1007/978-3-319-53300-1_15
The Korean Journal of Gastroenterology10.4166/kjg.2020.75.1.420207514Research Using Big Data in Gastroenterology: Based on the Outcomes from Big Data Research Group of the Korean Society of GastroenterologyJie-Hyun Kim, Hyunsoo Chung, Hyun-Soo Kim, Su Young Kim, Jae Myung Cha, Chang Kyun Lee, Byung Kyu Park, Sohee Park, https://synapse.koreamed.org/pdf/10.4166/kjg.2020.75.1.4, https://synapse.koreamed.org/DOIx.php?id=10.4166/kjg.2020.75.1.4, https://synapse.koreamed.org/DOIx.php?id=10.4166/kjg.2020.75.1.4