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Analyzing Morpheme of the Natural Language to Express the Symptoms of Korean Medicine  

Kim, Hye-Eun (Division of Humanities and Social Medicine, School of Korean Medicine, Pusan National University)
Sung, Ho-Kyung (Division of Humanities and Social Medicine, School of Korean Medicine, Pusan National University)
Eom, Dong-Myung (Dept. of Classics, College of Korean Medicine, Wonkwang University)
Lee, Choong-Yeol (Dept. of Physiology, College of Oriental Medicine, Gachon University)
Lee, Byung-Wook (Division of Humanities and Social Medicine, School of Korean Medicine, Pusan National University)
Publication Information
Journal of Society of Preventive Korean Medicine / v.17, no.2, 2013 , pp. 179-187 More about this Journal
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.
Keywords
Symptom; Structure of concept; Natural Language Processing;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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