open access

https://hdl.handle.net/2115/39559

Pilot Study of Domain-specific Terminology Adaptation for Morphological Analysis : Research on Unknown Terms in National Examination Documents of Radiological Technologists

日本語

medical documents

2008-07-20

Japanese Society of Radiological Technology

Japanese journal of Radiological Technology

64(7)

791-794

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.

学術雑誌論文

Version of Record

0369-4305

1881-4883

AN00197784