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KMID : 0861120130170020179
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Korean Journal of Oriental Preventive Medicine
2013 Volume.17 No. 2 p.179 ~ p.187
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Analyzing Morpheme of the Natural Language to Express the Symptoms of Korean Medicine
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Kim Hye-Eun
Sung Ho-Kyung
Lee Byung-Wook
Eom Dong-myung
Lee Choong-Yeol
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Abstract
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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.
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KEYWORD
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Symptom, Structure of concept, Natural Language Processing
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