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Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Health Sciences / Faculty of Health Sciences >
Peer-reviewed Journal Articles, etc >
形態素解析における放射線技術学分野の用語適用 : 診療放射線技師試験を対象とした未知語の調査
| Title: | 形態素解析における放射線技術学分野の用語適用 : 診療放射線技師試験を対象とした未知語の調査 |
| Other Titles: | Pilot Study of Domain-specific Terminology Adaptation for Morphological Analysis : Research on Unknown Terms in National Examination Documents of Radiological Technologists |
| Authors: | 辻, 真太朗1 Browse this author | | 西本, 尚樹2 Browse this author | | 小笠原, 克彦3 Browse this author →KAKEN DB |
| Authors(alt): | Tsuji, Shintarou1 | | Nishimoto, Naoki2 | | Ogasawara, Katsuhiko3 |
| Keywords: | morphological analysis | | radiology | | unknown words | | dictionary | | medical documents |
| Issue Date: | 20-Jul-2008 |
| Publisher: | 日本放射線技術学会 |
| Journal Title: | 日本放射線技術学会雑誌 |
| Journal Title(alt): | Japanese journal of Radiological Technology |
| Volume: | 64 |
| Issue: | 7 |
| Start Page: | 791 |
| End Page: | 794 |
| Abstract: | Although large medical texts are stored in electronic format, they are seldom reused because of the difficulty of processing narrative texts by computer. Morphological analysis is a key technology for extracting medical terms correctly and automatically. This process parses a sentence into its smallest unit, the morpheme. Phrases consisting of two or more technical terms, however, cause morphological analysis software to fail in parsing the sentence and output unprocessed terms as "unknown words." The purpose of this study was to reduce the number of unknown words in medical narrative text processing. The results of parsing the text with additional dictionaries were compared with the analysis of the number of unknown words in the national examination for radiologists. The ratio of unknown words was reduced 1.0% to 0.36% by adding terminologies of radiological technology, MeSH, and ICD-10 labels. The terminology of radiological technology was the most effective resource, being reduced by 0.62%. This result clearly showed the necessity of additional dictionary selection and trends in unknown words. The potential for this investigation is to make available a large body of clinical information that would otherwise be inaccessible for applications other than manual health care review by personnel. |
| Type: | article |
| URI: | http://hdl.handle.net/2115/39559 |
| Appears in Collections: | 保健科学院・保健科学研究院 (Graduate School of Health Sciences / Faculty of Health Sciences) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 小笠原 克彦
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