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The Development of the Korean Medicine Symptom Diagnosis System Using Morphological Analysis to Refine Difficult Medical Terminology
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 Title & Authors
The Development of the Korean Medicine Symptom Diagnosis System Using Morphological Analysis to Refine Difficult Medical Terminology
Lee, Sang-Baek; Son, Yun-Hee; Jang, Hyun-Chul; Lee, Kyu-Chul;
 
 Abstract
This paper presents the development of the Korean medicine symptom diagnosis system. In the Korean medicine symptom diagnosis system, the patient explains their symptoms and an oriental doctor makes a diagnosis based on the symptoms. Natural language processing is required to make a diagnosis automatically through the patients' reports of symptoms. We use morphological analysis to get understandable information from the natural language itself. We developed a diagnosis system that consists of NoSQL document-oriented databases-MongoDB. NoSQL has better performance at unstructured and semi-structured data, rather than using Relational Databases. We collect patient symptom reports in MongoDB to refine difficult medical terminology and provide understandable terminology to patients.
 Keywords
Morphological analysis;Medical consultation;MongoDB;NLP;Filtering Terminology;
 Language
Korean
 Cited by
 References
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