The Journal of the Society of Korean Medicine Diagnostics (대한한의진단학회지)
- Volume 12 Issue 1
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- Pages.142-184
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- 2008
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- 1226-5241(pISSN)
A Study for 8 Constitution Medicine Diagnosis Expert System Development
8체질의학을 위한 진단 전문가 시스템 개발 및 고찰
- Shin, Yong-Sup (Dept. of Human Informatics of Oriental Medicine, Interdisciplinary Programs, Kyung-Hee University) ;
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Park, Young-Bae
(Dept. of Human Informatics of Oriental Medicine, Interdisciplinary Programs, Kyung-Hee University) ;
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Park, Young-Jae
(Dept. of Human Informatics of Oriental Medicine, Interdisciplinary Programs, Kyung-Hee University) ;
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Kim, Min-Yong
(Dept. of Human Informatics of Oriental Medicine, Interdisciplinary Programs, Kyung-Hee University) ;
- Oh, Hwan-Sup (Dept. of Human Informatics of Oriental Medicine, Interdisciplinary Programs, Kyung-Hee University)
- 신용섭 (경희대학교 학과간협동과정 한방인체정보의학과) ;
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박영배
(경희대학교 학과간협동과정 한방인체정보의학과) ;
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박영재
(경희대학교 학과간협동과정 한방인체정보의학과) ;
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김민용
(경희대학교 학과간협동과정 한방인체정보의학과) ;
- 오환섭 (경희대학교 학과간협동과정 한방인체정보의학과)
- Published : 2008.07.31
Abstract
Background: There was seldom study about method that diagnose 8 Constitution beside method of pulse diagnosis in 8 Constitution Medicine. Objectives: This study is to make out 8 Constitution Medicine Diagnosis Expert System Development used CBR(Case based Reasoning). Methods: First, at case base construction process we constructed case base for CBR embodiment because gathering 925 cases all to patient who constitution is verified, and second, at study model establishment process superior expert system development by purpose CBR of reasoning process dividing fundamental type CBR that spend basis data value and expert type I II III CBR that reflect weight in basis data value according to advice expert opinion, and third, system embodiment process explained about way to give process and weight that diagnose constitution through Nearest Neighbor Method sampling process of CBR techniques, and fourth, at system estimation process we selected superior CBR model because comparing and estimate the diagnosis rate of expert system with fundamental type system (GECBR) model and expert type I II III CBR system (AVCBR, AACBR, AGCBR) model that reflect expert opinion in fundamental type system. GECBR and AGCBR chose on superior study model. Through such 4 study process, we developed 8 constitution diagnosis expert system lastly. Results: 1. When we select GECBR that is fundamental type by reasoning system, diagnosis rate 78.91% of 8 constitution diagnosis expert system is expected, and the constitution diagnosis rate Hepatonia 90.4%, Cholecystonia 63.0%, Pancreotonia 91.1%, Gastrotonia 0%, Pulmotonia 71.2%, Colonotonia 74.4%, Renotonia 37.5%, Vesicotonia 67.1% expect. 2. When we select AGCBR that is expert type III by reasoning system, diagnosis rate 77.51% of 8 constitution diagnosis expert system is expected, and the constitution diagnosis rate Hepatonia 93.4%, Cholecystonia 58.5%, Pancreotonia 91.1%, Gastrotonia 0%, Pulmotonia 73.1%, Colonotonia 64.4%, Renotonia 41.7%, Vesicotonia 72.2% expect. Conclusion: Based on this study, 8 constitution diagnosis expert system may give help to diagnose 8 constitution, and it is going to utilize as objective estimation tool of 8 constitution diagnosis, and further study for 8 Constitution Medicine Diagnosis Expert System Development used CBR(Case based Reasoning) is needed to supplement this study.
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