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1 Perceived Risk of Re-Identification in OMOP-CDM Database: A Cross-Sectional Survey
Yae Won Tak, Seng Chan You, Jeong Hyun Han, Soon-Seok Kim, Gi-Tae Kim, Yura Lee
J Korean Med Sci.2022;37(26):e205.  Published online 2022 June 20     DOI: http://dx.doi.org/10.3346/jkms.2022.37.e205
      
2 Data Pseudonymization in a Range That Does Not Affect Data Quality: Correlation with the Degree of Participation of Clinicians
Soo-Yong Shin, Hun-Sung Kim
J Korean Med Sci.2021;36(44):e299.  Published online 2021 October 26     DOI: http://dx.doi.org/10.3346/jkms.2021.36.e299
      
3 API Driven On-Demand Participant ID Pseudonymization in Heterogeneous Multi-Study Research
Shorabuddin Syed, Mahanazuddin Syed, Hafsa Bareen Syeda, Maryam Garza, William Bennett, Jonathan Bona, Salma Begum, Ahmad Baghal, Meredith Zozus, Fred Prior
Healthc Inform Res.2021;27(1):39-47.   Published online 2021 January 31     DOI: http://dx.doi.org/10.4258/hir.2021.27.1.39
      
4 Protecting and Utilizing Health and Medical Big Data: Policy Perspectives from Korea
Dongjin Lee, Mijeong Park, Seungwon Chang, Haksoo Ko
Healthc Inform Res.2019;25(4):239-247.   Published online 2019 October 31     DOI: http://dx.doi.org/10.4258/hir.2019.25.4.239
      
5 A De-identification Method for Bilingual Clinical Texts of Various Note Types
Soo-Yong Shin, Yu Rang Park, Yongdon Shin, Hyo Joung Choi, Jihyun Park, Yongman Lyu, Moo-Song Lee, Chang-Min Choi, Woo-Sung Kim, Jae Ho Lee
J Korean Med Sci.2015;30(1):7-15.   Published online 2014 December 23     DOI: http://dx.doi.org/10.3346/jkms.2015.30.1.7
      

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