Publication


  1. Han, B. C., Kim, J., & Choi, J. (2024). Prediction of complications in diabetes mellitus using machine learning models with transplanted topic model features. Biomedical Engineering Letters, 14(1), 163-171.
  2. Kwak, J., Park, H., Kim, K., & Choi, J. (2023). Context and Literacy Aware Learnable Metric for Text Simplification. In Proceedings of the Third Workshop on Natural Language Generation, Evaluation, and Metrics (GEM) (pp. 175-180).
  3. Kim, K., Lee, K., Cho, S., Kang, D. U., Park, S., Kang, Y., ... & Choi, J. (2023). PAIP 2020: Microsatellite instability prediction in colorectal cancer. Medical Image Analysis, 89, 102886.
  4. Park, H., Son, J., Min, J., & Choi, J. (2023). Selective UMLS knowledge infusion for biomedical question answering. Scientific Reports, 13(1), 14214.
  5. Choi, J., Park, H., Chie, E. K., Choi, S. W., Lee, H. Y., Yoo, S., ... & Ryu, B. (2023). Current Status and Key Issues of Data Management in Tertiary Hospitals: A Case Study of Seoul National University Hospital. Healthcare Informatics Research, 29(3), 209.
  6. Lee, J., Lee, J., Jeon, S., Lee, J., Jang, I., Yang, J. O., Park, S., Lee, B., Choi, J., ... & Choi, M. (2022). A database of 5305 healthy Korean individuals reveals genetic and clinical implications for an East Asian population.
  7. Experimental & Molecular Medicine, 54, 1862-1871.Lee, S. H., Park, J., Yang, K., Min, J., & Choi, J. (2022). Accuracy of Cloud-Based Speech Recognition Open Application Programming Interface for Medical Terms of Korean. Journal of Korean medical science, 37(18).
  8. Park, J. H., Choi, J., Lee, S., Do Shin, S., & Song, K. J. (2022). Use of time-to-event analysis to develop on-scene return of spontaneous circulation prediction for out-of-hospital cardiac arrest patients. Annals of Emergency Medicine, 79(2), 132-144.
  9. H Park, K Kim, S Park, J Choi. (2021) Medical Image Captioning Model to Convey More Details: Methodological Comparison of Feature Difference Generation. in IEEE Access, vol. 9, pp. 150560-150568, 2021, doi: 10.1109/ACCESS.2021.3124564.
  10. Yun, Hyoungju, Jinwook Choi, and Jeong Ho Park. (2021) Prediction of Critical Care Outcome for Adult Patients Presenting to Emergency Department Using Initial Triage Information: An XGBoost Algorithm Analysis. JMIR Medical Informatics 9.9: e30770.
  11. Kang, Yunsook, et al. (2021). Development and operation of a digital platform for sharing pathology image data. BMC Medical Informatics and Decision Making 21.1: 1-8.
  12. Ryu, Borim, et al. (2021). Development of Prediction Models for Unplanned Hospital Readmission within 30 Days Based on Common Data Model: A Feasibility Study. Methods of Information in Medicine.
  13. Park, Jeong Ho, et al. (2021). Use of Time-to-Event Analysis to Develop On-Scene Return of Spontaneous Circulation Prediction for Out-of-Hospital Cardiac Arrest Patients. Annals of Emergency Medicine.
  14. Ryu, Borim, et al. (2021). Thirty-day Hospital Readmission Prediction Model Based on Common Data Model with Weather and Air Quality Data.
  15. Park, Jimyung, et al. (2021). A Framework (SOCRATex) for Hierarchical Annotation of Unstructured Electronic Health Records and Integration Into a Standardized Medical Database: Development and Usability Study. JMIR medical informatics 9.3: e23983.
  16. Kim, Yoo Jung, et al. (2021). PAIP 2019: Liver cancer segmentation challenge. Medical Image Analysis 67 : 101854.
  17. Cha, Won Chul, et al. (2020). Temporal Change in Alert Override Rate with a Minimally Interruptive Clinical Decision Support on a Next-Generation Electronic Medical Record. Medicina 56.12: 662.
  18. Yousefian-Jazi, Ali, et al. (2020). Functional fine-mapping of noncoding risk variants in amyotrophic lateral sclerosis utilizing convolutional neural network. Scientific reports 10.1: 1-12.
  19. Park, Hyeryun, et al. (2020). Feature Difference Makes Sense: A medical image captioning model exploiting feature difference and tag information. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop. 2020.
  20. Choi, Jinwook. (2019). AI in Medicine: Need of Orchestration for High-Performance. Healthcare informatics research 25.3: 139-140.
  21. Lee, Wangjin, et al. (2019). Clinical text generation through leveraging medical concept and relations. arXiv preprint arXiv:1910.00861.
  22. Park, Jeong Ho, et al. (2019). Prediction of good neurological recovery after out-of-hospital cardiac arrest: a machine learning analysis. Resuscitation 142: 127-135.
  23. Lee, K. S., Jung, S. K., Ryu, J. J., Shin, S. W., & Choi, J. (2020). Evaluation of Transfer Learning with Deep Convolutional Neural Networks for Screening Osteoporosis in Dental Panoramic Radiographs. Journal of Clinical Medicine, 9(2), 392.
  24. Lee, W., & Choi, J. (2019). Precursor-induced conditional random fields: connecting separate entities by induction for improved clinical named entity recognition. BMC medical informatics and decision making, 19(1), 132.
  25. Yousefian-Jazi, A., Jung, J., Choi, J. K., & Choi, J. (2019). Functional annotation of noncoding causal variants in autoimmune diseases. Genomics.
  26. Yousefian-Jazi, A., & Choi, J. (2018). Sequential Integration of Fuzzy Clustering and Expectation Maximization for Transcription Factor Binding Site Identification. Journal of Computational Biology, 25(11), 1247-1256.
  27. Lee, W., Kim, K., Lee, E. Y., & Choi, J. (2018). Conditional random fields for clinical named entity recognition: A comparative study using Korean clinical texts. Computers in biology and medicine, 101, 7-14.
  28. Lee, W., & Choi, J. (2018). Temporal segmentation for capturing snapshots of patient histories in korean clinical narrative. Healthcare informatics research, 24(3), 179-186.
  29. Lee, J., Song, H. J., Yoon, E., Park, S. B., Park, S. H., Seo, J. W., Park, P., Choi, J. (2018). Automated extraction of Biomarker information from pathology reports. BMC medical informatics and decision making, 18(1), 29.
  30. Lee, H., Park, J. B., Choi, S. W., Yoon, Y. E., Park, H. E., Lee, S. E., ... & Lee, H. Y. (2017). Impact of a telehealth program with voice recognition technology in patients with chronic heart failure: feasibility study. JMIR mHealth and uHealth, 5(10), e127.
  31. Seol, J. W., Yi, W., Choi, J., & Lee, K. S. (2017). Causality patterns and machine learning for the extraction of problem-action relations in discharge summaries. International journal of medical informatics, 98, 1-12.
  32. Cho, I., Lee, J. H., Choi, J., Hwang, H., & Bates, D. W. (2016). National Rules for Drug–Drug Interactions: Are They Appropriate for Tertiary Hospitals?. Journal of Korean medical science, 31(12), 1887-1896.
  33. Cho, I., Lee, J. H., Choi, S. K., Choi, J. W., Hwang, H., & Bates, D. W. (2015). Acceptability and feasibility of the Leapfrog computerized physician order entry evaluation tool for hospitals outside the United States. International journal of medical informatics, 84(9), 694-701.
  34. Park, M., Yoon, E., Lim, Y. H., Kim, H., Choi, J., & Yoon, H. J. (2015). Renal hyperfiltration as a novel marker of all-cause mortality. Journal of the American Society of Nephrology, 26(6), 1426-1433.
  35. Yun, J. M., Hwang, S. J., Anh, S. Y., Lee, S. M., Kang, P., Lee, J. E., ... & Park, P. (2015). Development of biomarker positivity analysis system for cancer diagnosis based on clinical data. Bio-medical materials and engineering, 26(s1), S2101-S2111.
  36. Choi, J. (2015). Future directions for next-generation hospital information system. Healthcare informatics research, 21(1), 1-2.
  37. Park, H., & Choi, J. (2014). V-Model: a new perspective for EHR-based phenotyping. BMC medical informatics and decision making, 14(1), 90.
  38. Kim, Y. J., Park, S., Yi, W., Yu, K. S., Kim, T. H., Oh, T. J., ... & Cho, Y. M. (2014). Seasonal variation in hemoglobin A1c in Korean patients with type 2 diabetes mellitus. Journal of Korean medical science, 29(4), 550-555.
  39. Choi, S., Choi, J., Yoo, S., Kim, H., & Lee, Y. (2014). Semantic concept-enriched dependence model for medical information retrieval. Journal of biomedical informatics, 47, 18-27.
  40. Kim, S., & Choi, J. (2014). An SVM-based high-quality article classifier for systematic reviews. Journal of biomedical informatics, 47, 153-159.
  41. Choi, S., Ryu, B., Yoo, S., & Choi, J. (2012). Combining relevancy and methodological quality into a single ranking for evidence-based medicine. Information Sciences, 214, 76-90.
  42. Byun, H. J., Lee, H. J., Yang, J. I., Kim, K. H., Park, K. O., Park, S. M., ... & Cho, K. H. (2012). Daily skin care habits and the risk of skin eruptions and symptoms in cancer patients. Annals of oncology, 23(8), 1992-1998.
  43. Ryu, B., & Choi, J. (2012). An evaluation of multiple query representations for the relevance judgments used to build a biomedical test collection. Healthcare informatics research, 18(1), 65-73.
  44. Kim, S., & Choi, J. (2012). Improving the performance of text categorization models used for the selection of high quality articles. Healthcare informatics research, 18(1), 18-28.
  45. Kim, Y., & Choi, J. (2011). Recognizing temporal information in Korean clinical narratives through text normalization. Healthcare informatics research, 17(3), 150-155.
  46. Kim, Y., Yoo, S., Han, C., Kim, S., Shin, J., & Choi, J. (2011). Evaluation of unconstrained monitoring technology used in the smart bed for u-Health environment. Telemedicine and e-Health, 17(6), 435-441.
  47. Yoo, S., & Choi, J. (2011). Evaluation of term ranking algorithms for pseudo-relevance feedback in MEDLINE retrieval. Healthcare informatics research, 17(2), 120-130.
  48. Han, C., Yoo, S., & Choi, J. (2011). Evaluation of co-occurring terms in clinical documents using latent semantic indexing. Healthcare informatics research, 17(1), 24-28.
  49. Choi, J., Kim, J. W., Seo, J. W., Chung, C. K., Kim, K. H., Kim, J. H., ... & Lee, H. J. (2010). Implementation of consolidated HIS: improving quality and efficiency of healthcare. Healthcare informatics research, 16(4), 299-304.
  50. Yoo, S., & Choi, J. (2010). On the query reformulation technique for effective MEDLINE document retrieval. Journal of biomedical informatics, 43(5), 686-693.
  51. Ro, D., Yoo, S., Cheon, K., & Choi, J. (2009). Development of u-House Gateway for u-Healthcare. Journal of Korean Society of Medical Informatics, 15(4), 465-474.
  52. Jung, S., Kim, S., Yoo, S., & Choi, J. (2009). Toward the automatic generation of the entry level CDA documents. Journal of Korean Society of Medical Informatics, 15(1), 141-151.
  53. Choi, J., Yoo, S., Park, H., & Chun, J. (2006). MobileMed: a PDA-based mobile clinical information system. IEEE Transactions on Information Technology in Biomedicine, 10(3), 627-635.
  54. Han, S. B., & Choi, J. (2005). The expressive power of SNOMED-CT compared with the discharge summaries. Journal of Korean Society of Medical Informatics, 11(3), 265-272.
  55. Choi, J., Yoo, S., & Chun, J. (2005). Design and Implementation of HL 7-based Real-time Data Communication for Mobile Clinical Information System. Journal of Biomedical Engineering Research, 26(2), 65-71.
  56. Choi, J., & Kwak, M. (2005). Information Extraction Using Concept Node Analysis of Brain Radiology Reports Summarization. Journal of Korean Society of Medical Informatics, 11(1), 57-69.
  57. Han, S. B., & Choi, J. (2005). The comparative study on concept representation between the UMLS and the clinical terms in Korean Medical Records. International journal of medical informatics, 74(1), 67-76.
  58. Kim, J., Choi, M., Park, H., & Choi, J. (2004) Development of Biosignal Telemonitoring System Based on HL7 and MFER standard. Journal of Korean Society of Medical Informatics, 10(4), 387-395.
  59. Choi, J., Chun, J., Lee, K., Lee, S., Shin, D., Hyun, S., ... & Kim, D. (2004). MobileNurse: hand-held information system for point of nursing care. Computer methods and programs in biomedicine, 74(3), 245-254.
  60. Han, S. B., & Choi, J. (2004). Effective query expansion using condensed UMLS metathesaurus for medical information retrieval. Journal of Korean Society of Medical Informatics, 10(1), 43-53.
  61. Bum, H., Choi, J., Kim, C., & Park, S. (2002). Effects of Clinical Decision Support System on Reduction of Adverse Drug Events: A Meta-Analysis. Journal of Korean Society of Medical Informatics, 8(3), 55-60.
  62. Park, D., & Choi, J. (2002). A Web-Based Pulse Wave Information Management System. Journal of Korean Society of Medical Informatics, 8(3), 47-53.
  63. 한승빈, & 최진욱. (2001). UMLS 의 증상용어와 국내의무기록에서 사용되는 증상용어와의 비교연구. Journal of Korean Society of Medical Informatics, 7(4), 1-10. 139-147.
  64. Seo, H., Choi, J., & Lee, H. (2001). A comparison of Multilayer Perceptron with Logistic Regression for the Risk Factor Analysis of Type 2 Diabetes Mellitus. Journal of Biomedical Engineering Research, 22(4), 369-375.
  65. Chun, J., Kim, H., Lee, S. G., Choi, J., & Cho, H. (2001). A DBMS-based medical teleconferencing system. Journal of the American Medical Informatics Association, 8(5), 460-467.
  66. 송승용, 범경규, 이충근, 이해석, 최진욱 & 김성권. (2001). 무정지 무장애 병원정보시스템을 위한 대형 의료기관 네트워크의 설계. Journal of Korean Society of Medical Informatics, 7(2),
  67. Choi, J. W., Lee, Y. H., Kim, K. J., Kim, J. S., Park, J. S., Song, J. H., ... & Kim, S. G. (2001). The analysis of clinical information by building the clinical data warehouse. Journal of Korean Society of Medical Informatics, 7(1), 1-11.
  68. 유수영, 김보원, 한승빈, 최진욱, 정재현, 이민경, & 전종훈. (2000). 의료기관 정보공유를 위한 HL7 메시지 서버 프로토 타입 설계 및 평가. Journal of Korean Society of Medical Informatics, 7(3).
  69. 현수경, 김대희, 이승종, 김동규, 최진욱, 전종훈, ... & 이상구. (2000). PDA 를 이용한 간호정보시스템의 개발. Journal of Korean Society of Medical Informatics, 6(2), 45-53.
  70. Seo, H., Park, Y., Choi, J., & Park, J. (1998). On the Use of Neural Networks for the Risk Factor Analysis of NIDDM. Journal of Korean Society of Medical Informatics, 4(2), 127-131.
  71. Lee, J. O., Kwak, Y. S., Min, W. K., Choi, J. W., & Cho, H. I. (1998). The Analysis of Mass Physical Screening Using the Concept of Data Warehousing Short subject: Data Warehousing and Mass Screening. Journal of Korean Society of Medical Informatics, 4(2), 111-114.
  72. Choi, J. W. (1998). Development of Breast Cancer Predication Model Using Neural Networks. Journal of Korean Society of Medical Informatics, 4(1), 83-87.
  73. Choi, J., Kim, H., & Cho, H. (1998). Implementation of HL7 Interface Engine for Unifying Medical Records. Journal of Korean Society of Medical Informatics, 4(1), 9-14.
  74. Choi, J., Kim, Y., Lee, S., Lee, J., Oh, B., & Cho, H. (1997). A Telemedicine System Using B-ISDN. Journal of Korean Society of Medical Informatics, 3(2), 141-146.
  75. Cho, H., Choi, J., Kim, K., Nam, S., Hong, J., Kim, O., … & Cho, H. (1997). Review of Core Elements used in Medical Records and their Definitions for Medical Informatics Standard. Journal of Korean Society of Medical Informatics, 3(2), 91-98.
  76. Choi, J., Yoon, J., Cho, H., Byun, N., Baik, C., & Cho, H. (1996). Review of Core Elements used in Medical Records for Medical Informatics Standard and Development of An Electronic Discharge Summary Note. Journal of Korean Society of Medical Informatics, 2(2), 1-8.