Journal of Society of Preventive Korean Medicine (대한예방한의학회지)

Society of Preventive Korean Medicine (대한예방한의학회)
권호 표지

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

한의학 증상용어의 형태소 분석을 위한 자연어 표기 분석

  • 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)
  • 김혜은 (부산대학교 한의학전문대학원 인문사회의학부) ;
  • 성호경 (부산대학교 한의학전문대학원 인문사회의학부) ;
  • 엄동명 (원광대학교 한의과대학 원전학교실) ;
  • 이충열 (가천대학교 한의과대학 생리학교실) ;
  • 이병욱 (부산대학교 한의학전문대학원 인문사회의학부)
  • Received : 2013.07.29
  • Accepted : 2013.08.23
  • Published : 2013.08.31
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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

References

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