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Proceedings of the 31st Annual Meeting of the Association for Natural Language Processing. pp. 3515\u20133520.]."},{"key":"37","doi-asserted-by":"crossref","unstructured":"Rosse, C. and Mejino Jr, J. L. (2008). \u201cThe Foundational Model of Anatomy Ontology.\u201d In <i>Anatomy Ontologies for Bioinformatics: Principles and Practice<\/i>, pp. 59\u2013117. Springer.","DOI":"10.1007\/978-1-84628-885-2_4"},{"key":"38","unstructured":"\u76f8\u826f\u304b\u304a\u308b\uff0c\u5c0f\u91ce\u6b63\u5b50\uff0c\u5c0f\u4f5c\u6d69\u7f8e\uff0c\u9234\u6728\u9686\u5f18\uff0c\u9ad8\u5d0e\u5149\u6d69\uff0c\u5d8b\u7530\u5143 (2012). \u5206\u304b\u3061\u66f8\u304d\u7528\u8f9e\u66f8 ComeJisyo \u306e\u8a55\u4fa1. \u533b\u7642\u60c5\u5831\u5b66, 32 (6), pp. 301\u2013307. [K. Sagara et al. (2012). Wakachigaki yo Jisho ComeJisyo no Hyoka. Japan Journal of Medical Informatics, 32(6), pp. 301-307.]."},{"key":"39","unstructured":"\u962a\u672c\u606d\u5b50\uff0c\u5cb8\u672c\u548c\u660c\uff0c\u5c71\u672c\u525b\uff0c\u7af9\u6751\u5321\u6b63 (2022). BERT \u3092\u7528\u3044\u305f\u770b\u8b77\u8a18\u9332\u306b\u304a\u3051\u308b\u81ea\u52d5\u76e3\u67fb\u306e\u8a66\u307f\uff1a\u30ab\u30eb\u30c6\u8a18\u8f09\u306b\u304a\u3051\u308b\u81ea\u5df1\u629c\u53bb\u3092\u5bfe\u8c61\u3068\u3057\u3066. \u751f\u4f53\u533b\u5de5\u5b66, 60 (4-5), pp. 95\u2013101. [K. Sakamoto et al. (2022). Attempt of Automatic Audit for Nursing Records Using BERT\uff1aSelf-removal of Tubes in Medical Record Entries. Transactions of the Japanese Society for Medical and Biological Engineering, 60(4\u20135), pp. 95\u2013101.]."},{"key":"40","unstructured":"\u59b9\u5c3e\u9686\u5fb3 (2024). \u8a00\u8a9e\u751f\u6210\u30e2\u30c7\u30eb\u306b\u3088\u308b\u75c5\u540d\u306e\u8aad\u307f\u3068 ICD-10 \u30b3\u30fc\u30c9\u63a8\u5b9a. Master\u2019s thesis, \u5948\u826f\u5148\u7aef\u79d1\u5b66\u6280\u8853\u5927\u5b66\u9662\u5927\u5b66. [T. Seno. (2024). Reading of Disease Names and ICD-10 Code Estimation Using a Language Generation Model. Nara Institute of Science and Technology.]."},{"key":"41","unstructured":"\u59b9\u5c3e\u9686\u5fb3\uff0c\u77e2\u7530\u7ae3\u592a\u90ce\uff0c\u82e5\u5bae\u7fd4\u5b50\uff0c\u8352\u7267\u82f1\u6cbb (2022). \u8a00\u8a9e\u751f\u6210\u30e2\u30c7\u30eb\u306b\u3088\u308b\u75c5\u540d\u8aad\u307f\u63a8\u5b9a. \u7b2c 42 \u56de\u533b\u7642\u60c5\u5831\u5b66\u9023\u5408\u5927\u4f1a\uff08\u7b2c 23 \u56de\u65e5\u672c\u533b\u7642\u60c5\u5831\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\uff09. [T. Seno et al. (2022). Predicting Japanese Kana Pronunciation of Disease Names by using a Language Generation Model. 42th Japan Association for Medical Informatics Conference (23th Japan Association for Medical Informatics Academic Conference).]."},{"key":"42","unstructured":"SNOMED International (2022). \u201cThe International Patient Summary Terminology.\u201d https:\/\/www.snomed.org\/international-patient-summary-terminology."},{"key":"43","unstructured":"SNOMED International (2024a). \u201c2023 Annual Report.\u201d https:\/\/900274fb-d080-447b-a566-8dd2ca035ffd.usrfiles.com\/ugd\/900274_6f56d81124f14f16a0e45019d1387f5b.pdf."},{"key":"44","unstructured":"SNOMED International (2024b). \u201cSNOMED CT.\u201d https:\/\/www.snomed.org\/."},{"key":"45","unstructured":"Soldaini, L. and Goharian, N. (2016). \u201cQuickumls: A Fast, Unsupervised Approach for Medical Concept Extraction.\u201d In <i>MedIR Workshop, SIGIR<\/i>, pp. 1\u20134."},{"key":"46","doi-asserted-by":"crossref","unstructured":"Soroush, A., Glicksberg, B. S., Zimlichman, E., Barash, Y., Freeman, R., Charney, A. W., Nadkarni, G. N., and Klang, E. (2024). \u201cLarge Language Models Are Poor Medical Coders\u2014Benchmarking of Medical Code Querying.\u201d <i>NEJM AI<\/i>, 1 (5), p. AIdbp2300040.","DOI":"10.1056\/AIdbp2300040"},{"key":"47","unstructured":"\u7dcf\u52d9\u7701 (1990). \u65e5\u672c\u6a19\u6e96\u5546\u54c1\u5206\u985e\uff08\u5e73\u6210 2 \u5e74 6 \u6708\u6539\u5b9a\uff09. https:\/\/www.soumu.go.jp\/toukei_toukatsu\/index\/seido\/syouhin\/2index.htm. [Ministry of Internal Affairs and Communications. (1990). Nihon Hyojun Shohin Bunrui (Heisei 2nen 6gatsu Kaitei). https:\/\/www.soumu.go.jp\/toukei_toukatsu\/index\/seido\/syouhin\/2index.htm]."},{"key":"48","doi-asserted-by":"crossref","unstructured":"Sugihara, S., Kajiwara, T., Ninomiya, T., Wakamiya, S., and Aramaki, E. (2024). \u201cSemi-automatic Construction of a Word Complexity Lexicon for Japanese Medical Terminology.\u201d In Naumann, T., Ben Abacha, A., Bethard, S., Roberts, K., and Bitterman, D. (Eds.), <i>Proceedings of the 6th Clinical Natural Language Processing Workshop<\/i>, pp. 329\u2013333, Mexico City, Mexico. Association for Computational Linguistics.","DOI":"10.18653\/v1\/2024.clinicalnlp-1.29"},{"key":"49","unstructured":"\u6749\u672c\u6d77\u4eba\uff0c\u58f9\u5c90\u592a\u4e00\uff0c\u77e5\u7530\u60a0\u751f\uff0c\u91d1\u6ca2\u8f1d\u4e00\uff0c\u76f8\u6fa4\u5f70\u5b50 (2023). 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(2021). \u201cValidation of the Reliability of Machine Translation for a Medical Article from Japanese to English using DeepL Translator.\u201d <i>Cureus<\/i>, 13 (9).","DOI":"10.7759\/cureus.17778"},{"key":"51","unstructured":"\u6e21\u8fba\u7fd4\u543e\uff0c\u9023\u4e43\u99ff\uff0c\u4eca\u5ca1\u5e78\u5f18\uff0c\u98ef\u539f\u5f18\u4e8c (2025). \u533b\u7642\u5206\u91ce\u306b\u7279\u5316\u3057\u305f\u65e5\u672c\u8a9e\u306e\u5c0f\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u306e\u958b\u767a. \u8a00\u8a9e\u51e6\u7406\u5b66\u4f1a\u7b2c 31 \u56de\u5e74\u6b21\u5927\u4f1a\u767a\u8868\u8ad6\u6587\u96c6, pp. 1628\u20131632. [S. Watanabe et al. (2025). Iryobunya Ni Tokka Shita Nihongo No Shokibo Gengomoderu No Kaihatsu. Proceedings of the 31st Annual Meeting of the Association for Natural Language Processing. pp. 1628\u20131632.]."},{"key":"52","unstructured":"WHO Collaborating Centre for Drug Statistics Methodology (2024). \u201cAnatomical Therapeutic Chemical Classification: ATC.\u201d https:\/\/atcddd.fhi.no\/atc_ddd_index\/."},{"key":"53","unstructured":"World Health Organization (2004). \u201cICD-10 : International Statistical Classification of Diseases and Related Health Problems : Tenth revision, 2nd ed.\u201d Tech. rep., World Health Organization."},{"key":"54","unstructured":"World Health Organization (2021). \u201cInternational Classification of Diseases, Eleventh Revision (ICD-11).\u201d https:\/\/icd.who.int\/browse11."},{"key":"55","unstructured":"\u4e00\u822c\u8ca1\u56e3\u6cd5\u4eba\u533b\u85ac\u54c1\u533b\u7642\u6a5f\u5668\u30ec\u30ae\u30e5\u30e9\u30c8\u30ea\u30fc\u30b5\u30a4\u30a8\u30f3\u30b9\u8ca1\u56e3 (2024). ICH \u56fd\u969b\u533b\u85ac\u7528\u8a9e\u96c6\u65e5\u672c\u8a9e\u7248 MedDRA\/J. https:\/\/www.jmo.pmrj.jp\/. [Pharmaceutical and Medical Device Regulatory Science Society of Japan. (2024). ICH Kokusai Iyaku Yogo Shu Nihongo Ban MedDRA\/J. https:\/\/www.jmo.pmrj.jp\/]."}],"container-title":["Journal of Natural Language Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/jnlp\/33\/1\/33_3\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T03:53:35Z","timestamp":1774065215000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/jnlp\/33\/1\/33_3\/_article\/-char\/ja\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":55,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026]]}},"URL":"https:\/\/doi.org\/10.5715\/jnlp.33.3","relation":{},"ISSN":["1340-7619","2185-8314"],"issn-type":[{"value":"1340-7619","type":"print"},{"value":"2185-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}