This paper is in the following e-collection/theme issue:

Natural Language Processing (708) Clinical Information and Decision Making (1437) Clinical Informatics (1050) Electronic Health Records (1070) Tools, Programs and Algorithms (275) Secondary Use of Clinical Data for Research and Surveillance (375) Ontologies, Classifications, and Coding (243)

Published on in Vol 9, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23983, first published .
A Framework (SOCRATex) for Hierarchical Annotation of Unstructured Electronic Health Records and Integration Into a Standardized Medical Database: Development and Usability Study

A Framework (SOCRATex) for Hierarchical Annotation of Unstructured Electronic Health Records and Integration Into a Standardized Medical Database: Development and Usability Study

A Framework (SOCRATex) for Hierarchical Annotation of Unstructured Electronic Health Records and Integration Into a Standardized Medical Database: Development and Usability Study

Authors of this article:

Jimyung Park1 Author Orcid Image ;   Seng Chan You2 Author Orcid Image ;   Eugene Jeong3 Author Orcid Image ;   Chunhua Weng4 Author Orcid Image ;   Dongsu Park5 Author Orcid Image ;   Jin Roh6 Author Orcid Image ;   Dong Yun Lee5 Author Orcid Image ;   Jae Youn Cheong7 Author Orcid Image ;   Jin Wook Choi8 Author Orcid Image ;   Mira Kang9 Author Orcid Image ;   Rae Woong Park1, 5 Author Orcid Image
Article Authors Cited by (14) Tweetations (2) Metrics

Journals

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  2. Lee D, Kim C, Lee S, Son S, Cho S, Cho Y, Lim J, Park R. Psychosis Relapse Prediction Leveraging Electronic Health Records Data and Natural Language Processing Enrichment Methods. Frontiers in Psychiatry 2022;13 View
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  9. Loor-Torres R, Duran M, Toro-Tobon D, Mateo Chavez M, Ponce O, Soto Jacome C, Segura Torres D, Algarin Perneth S, Montori V, Golembiewski E, Borras Osorio M, Fan J, Singh Ospina N, Wu Y, Brito J. A Systematic Review of Natural Language Processing Methods and Applications in Thyroidology. Mayo Clinic Proceedings: Digital Health 2024;2(2):270 View
  10. Jeon K, Park W, Kahn C, Nagy P, You S, Yoon S. Advancing Medical Imaging Research Through Standardization. Investigative Radiology 2025;60(1):1 View
  11. Wang Z, Craven C, Syed M, Greer M, Seker E, Syed S, Zozus M. Clinical Data Warehousing: A Scoping Review. Journal of the Society for Clinical Data Management 2024;5(2) View
  12. Cho S, Jeon J, Lee D, Lee C, Kim J. DSG-KD: Knowledge Distillation From Domain-Specific to General Language Models. IEEE Access 2024;12:130973 View
  13. Lastrucci A, Wandael Y, Barra A, Ricci R, Pirrera A, Lepri G, Gulino R, Miele V, Giansanti D. Revolutionizing Radiology with Natural Language Processing and Chatbot Technologies: A Narrative Umbrella Review on Current Trends and Future Directions. Journal of Clinical Medicine 2024;13(23):7337 View
  14. Lee S, Hong N, Kim G, Li J, Lin X, Seager S, Shin S, Kim K, Bae J, You S, Rhee Y, Kim S. Digital Phenotyping of Rare Endocrine Diseases Across International Data Networks and the Effect of Granularity of Original Vocabulary. Yonsei Medical Journal 2025;66 View