Browse > Article

Design and Implementation of an Intelligent Medical Expert System for TMA(Tissue Mineral Analysis)  

조영임 (평택대학교 컴퓨터과학과)
한근식 (한신대학교 정보시스템 공학과)
Publication Information
Journal of KIISE:Software and Applications / v.31, no.2, 2004 , pp. 137-152 More about this Journal
Abstract
Assesment of 30 nutritional minerals and 8 toxic elements in hair are very important not only for determining adequacy, deficiencies and unbalance, but also for assessing their relative relationships in the body. A test has been developed that serves this purpose exceedingly well. This test is known as tissue mineral analysis(TMA). TMA is very popular method in hair mineral analysis for health care professionals in over 46 countries' medical center. However, there are some problems. First, they do not have database which is suitable for korean to do analyze. Second, as the TMA results from TEI-USA is composed of english documents and graphic files prohibited to open, its usability is very low. Third, some of them has low level database which is related to TMA, so hairs are sent to TEI-USA for analyzing and medical services. it bring about an severe outflow of dollars. Finally, TMA results are based on the database of american health and mineral standards, it is possibly mislead korean mineral standards. The purposes of this research is to develope the first Intelligent Medical Expert System(IMES) of TMA, in Korea, which makes clear the problems mentioned earlier IMES can analyze the tissue mineral data with multiple stage decision tree classifier. It is also constructed with multiple fuzzy rule base and hence analyze the complex data from Korean database by fuzzy inference methods. Pilot test of this systems are increased of business efficiency and business satisfaction 86% and 92% respectively.
Keywords
Intelligent Medical Expert System; TMA : Tissue Mineral Analysis; Decision Tree Classifier; Fuzzy Rulebase; Fuzzy Inference;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Laker, M. 'On Determining Trace Element Levels,' Man The Uses of Blood and Hair, Lancet 11, 1982   DOI   ScienceOn
2 장수익, 김경곤, 이복기, 김형준, 유수헌, 강희철, 윤방부, '당뇨환자에서의 모발내 미네랄의 함량연구', 최신의학 45권 5호 별책. 2002
3 Watts, D.L., Trace Elements and Other Essential Nutrients-Clinical Application of Tissue Mineral Analysis, 2nd Writer's BLOCK edition, 1997
4 http://www.medinex.com
5 의계신문(The medical World News), 1247호, 2001.1.22일자
6 http://www.traceelements.com
7 http://www.teikorea.com
8 Strain, W. H. and Pories, W. J. and Flynn, A. and Hill, O. A., Trace Element Nutriture and Metabolism Through Head Hair Analysis. Trace Substances in Environmental Health, Hemphill, D., Ed. Univ. Mo. Press, Columbia. 1972
9 Baumgartner, W. A. and Hill, V.A. and Blahd, W. H., 'Hair Analysis for Drugs of Abuse,' Journal of Forensic Science Vol 34. No 6. 1989
10 Vir etal, 'Serum and hair concentrations of Copper During Pregnancy,' American Journal of Clinical Nutrition Vol. 34, 1981
11 Brown, D.E. and Corruble, V. and Pittard, C. L., 'A Comparison of decision tree classifiers with backpropagation neural networks for multinomial classification problems,' Pattern Recognition, Vol. 26, No. 6, 953-961, 1993   DOI   ScienceOn
12 Johnson, R. A. and Wichern, D. W, Applied Multivariate Statistical Analysis 3rd edition, Prentice Hall, 1992
13 Turksen, I.B. and Zhong, Z., 'An Approximate Analogical Reasoning Schema based on Similarity Measures and Interval Valued Fussy Sets,' Fuzzy Sets and Systems, North-Holland, Vol. 34, pp.323-346, 1990   DOI   ScienceOn
14 Lee, C.C., 'Fuzzy Logic in Control Systems: Fuzzy Logic Controller, Part I,' IEEE Transactions on System, Man, and Cybernetics., Vol.20, No.2, pp.404-418, 1990   DOI   ScienceOn
15 Safavian, S.R. and Landgrebe, D., 'A survey of decision tree classifier methodology,' IEEE Transactions on System, Man, and Cybernetics., Vol.21, No.3, pp.660-674, 1991   DOI   ScienceOn
16 Cho, Y.I, 'An Effective Hybrid Methodology of Neuro-Fuzzy Systems,' International ICSC Congress Computational Intelligent Methods and Applications, USA, NY, pp.69-74, June 22-25, 1999
17 Graham, J. R. and Decker, K.S., 'Towards a Distributed Environment-Cantered Agent Framework,' Umass Technical Report, 1998