한의학 증상용어의 형태소 분석을 위한 자연어 표기 분석
Analyzing Morpheme of the Natural Language to Express the Symptoms of Korean Medicine
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Objectives : In many cases, patient's symptoms have been recorded on EMR in natural language instead of medical terminologies. It is possible to build a database by analyzing the symptoms of Korean Medicine(KM) that indicates patient's symptoms in natural language. Using the database, when doctors record patient's symptoms on EMR in natural language, conversely it'll be also possible to extract the symptoms of KM from those natural language. The database will enhance the value of EMR as a medical data. Methods : In this study, we aimed to make data structure of the terminologies that represent the symptoms of KM. The data structure is combinations of smallest unit in natural language. We made the database by analyzing morpheme of the natural language to express the symptoms of KM. Results & Conclusions : By classifying the natural language in 15 features, we made the structure of concept and the data available for morphological analysis.
Abstract
Objectives : In many cases, patient's symptoms have been recorded on EMR in natural language instead of medical terminologies. It is possible to build a database by analyzing the symptoms of Korean Medicine(KM) that indicates patient's symptoms in natural language. Using the database, when doctors record patient's symptoms on EMR in natural language, conversely it'll be also possible to extract the symptoms of KM from those natural language. The database will enhance the value of EMR as a medical data. Methods : In this study, we aimed to make data structure of the terminologies that represent the symptoms of KM. The data structure is combinations of smallest unit in natural language. We made the database by analyzing morpheme of the natural language to express the symptoms of KM. Results & Conclusions : By classifying the natural language in 15 features, we made the structure of concept and the data available for morphological analysis.
참고문헌 (3)
- 이병욱, "문헌과 진료기록부에 기록된 용어의 비교", 대한한의학원전학회지, 24(1), pp.1~13 (2011), 대한한의학원전학회
- 박경미, "자연어처리 기반 바이오 텍스트 마이닝 시스템", 정보과학회 컴퓨팅의 실제 논문지, 17(4), pp.205~213 (2011), 한국정보과학회
- 장문수, "구어에 대한 자연어처리의 문제점과 그 해결을 위한 시스테믹 기능문법적 접근", 한국어학, 46, pp.123~143 (2010), 한국어학회