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Domain and Language adaptive pre-training of BERT models for Korean-English bilingual clinical text analysis.

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Title: Domain and Language adaptive pre-training of BERT models for Korean-English bilingual clinical text analysis.
Authors: Jo E; Department of Biomedical Informatics, Korea University College of Medicine, Seongbuk-gu 73, Goryeodae-ro, Seoul, 02841, Republic of Korea., Cho E; Department of Linguistics, Korea University, Seongbuk-gu 145, Anam-ro, Seoul, 02841, Republic of Korea., Lee Y; Department of Linguistics, Korea University, Seongbuk-gu 145, Anam-ro, Seoul, 02841, Republic of Korea., Song S; Department of Linguistics, Korea University, Seongbuk-gu 145, Anam-ro, Seoul, 02841, Republic of Korea. sanghoun@korea.ac.kr., Joo HJ; Department of Biomedical Informatics, Korea University College of Medicine, Seongbuk-gu 73, Goryeodae-ro, Seoul, 02841, Republic of Korea. drjoohj@gmail.com.; Korea University Research Institute for Medical Bigdata Science, Korea University, Seoul, Republic of Korea. drjoohj@gmail.com.; Department of Cardiology, Cardiovascular Center, Korea University College of Medicine, Seoul, Republic of Korea. drjoohj@gmail.com.
Source: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2025 Nov 25; Vol. 25 (1), pp. 428. Date of Electronic Publication: 2025 Nov 25.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1472-6947
DOI:10.1186/s12911-025-03262-7