ESYNDIAG: A Fuzzy Expert System for Eight Syndrome Diagnosis in Traditional Vietnamese Medicine

  • Hoang Phuong NguyenEmail author
  • Lam Tung Vu
  • Thuy Hong Truong
  • Kaoru Hirota
Part of the Studies in Computational Intelligence book series (SCI, volume 899)


A fuzzy rule—based expert system ESYNDIAG is presented for eight syndrome diagnosis in Traditional Vietnamese Medicine combining positive and negative rules. After designing and building a suitable inference engine for this system, efforts have been committed to create effective knowledge base consisting of more 800 positive rules for confirmation of conclusion and of more 100 negative rules for exclusion of the same conclusion. How the rule base is constructed, managed and used are focussed on for diagnosis of eight syndromes in Traditional Vietnamese medicine such as Yin syndrome, Yang syndrome, Superficial syndrome, deep syndrome, Cold syndrome, Hot syndrome, Deficiency syndrome, Excess syndrome. The inference engine shows how to combine positive and negative rules. The first evaluation of ESYNDIAG is presented by the traditional medicine expert’s group in Vietnam and confirmed that ESYNDIAG diagnoses with a high accuracy.


Fuzzy expert systems Traditional Vietnamese Medicine Syndrome diagnosis 


  1. 1.
    Phuong, N.H.: Towards intelligent systems for Integrated western and eastern medicine. The Gioi Publishers, Hanoi (1997)Google Scholar
  2. 2.
    Shortliffe, E.H.: Computer Based Medical Consultation: MYCIN. Elsevier, New York (1976)Google Scholar
  3. 3.
    Adlassnig, K.-P.: CADIAG-2: Computer – assisted medical diagnosis using fuzzy subsets. In: Gupta, M.M., Sanche, E. (eds.) Approximate Reasoning in Decision Analysis, pp. 219–247. North-Holland Publishing Company, Amsterdam (1982)Google Scholar
  4. 4.
    Daniel, M., Hájek, P., Nguyen, P.H.: CADIAG-2 and MYCIN-like systems. Artif. Intell. Med. 9(3), 241–259 (1997)CrossRefGoogle Scholar
  5. 5.
    Kandel, A.: Fuzzy Expert Systems. CRC Press, Boca Raton (2000)Google Scholar
  6. 6.
    Shortliffe, E.H., Buchanan, B.G., Feigenbaum, E.A.: Knowledge engineering for medical decision making: A review of computer-based clinical decision aids. Proc. IEEE 67, 1207–1224 (1979)CrossRefGoogle Scholar
  7. 7.
    Van Ky, T.: Handbook of Diagnosis and Treatment of Oriental medicine. Danang Publisher, Da Nang (2015)Google Scholar
  8. 8.
    Giaratano, J., Riley, G.: Expert Systems: Principles and Programming. PWS Publishing Company, Boston (1994)Google Scholar
  9. 9.
    Bennett, J.S., Engelmore, R.S.: Experience using EMYCIN. In: Buchanan, B., Shortliffe, E. (eds.) Rule-Based Systems, p. 314. Addison-Wesley, Reading (1984)Google Scholar
  10. 10.
    Buckley, J.J., Siler, W., Tucker, D.: A Fuzzy Expert System. Fuzzy Sets Syst. 20(1), 1 (1986)CrossRefGoogle Scholar
  11. 11.
    Miller, R.A., Pople, H.E., Myers, J.D.: INTERNIST-1, an experimental computer-based diagnostic consultant for general internal medicine. New Engl. J. Med. 307(8), 468–476 (1982)CrossRefGoogle Scholar
  12. 12.
    Zadeh, L.A.: Fuzzy Sets. Inf. Control 8, 338–353 (1965)zbMATHCrossRefGoogle Scholar
  13. 13.
    Zadeh, L.A.: The role of fuzzy logic in the management of uncertainty in expert systems. Fuzzy Sets Syst. 11, 199 (1983)MathSciNetzbMATHCrossRefGoogle Scholar
  14. 14.
    Phuong, N.H.: Fuzzy set theory and medical expert systems. Survey and model. In: Proceedings of SOFSEM 1995. Theory and Practice in Informatics, Lecture Notes in Computer Science, no. 1012, pp. 431–436. Springer (1995)Google Scholar
  15. 15.
    Phuong, N.H., Kreinovich, V.: Fuzzy logic and its applications in medicine. Int. J. Med. Inform. 62, 165–173 (2001)CrossRefGoogle Scholar
  16. 16.
    Lu, H.C.: Chinese Natural Cures: traditional methods for remedies and preventions. Black Dog & Leventhal Publishers, Inc., New York (1986)Google Scholar
  17. 17.
    Phuong, N.H.: FuzzRESS: a fuzzy rule-based expert system shell for medical consultation combining positive and negative knowledge. In: Proceedings of NAFIPS 2016, Annual Conference (North American Fuzzy Information Processing Society), El Paso, Texas, USA, 31 October–4 November 2016, pp. 271–277Google Scholar
  18. 18.
    Thuy, T., Nhac, P.H., Chau, H.B. (eds.): Traditional Medicine. Medical Publisher, Hanoi (2005)Google Scholar
  19. 19.
    Hajek, P., Havranek, T., Jirousek, R.: Uncertain Information Processing in Expert Systems. CRC Press, Boca Raton (1992)Google Scholar
  20. 20.
    Phuong, N.H., Cuong, T.N., Ha, M.: Approach to integrating expert knowledge for medical expert systems. In: Proceedings of VJFUZZY 1998: Vietnam-Japan Bilateral Symposium on Fuzzy Systems and Applications, Halong Bay, Vietnam, 30 September–2 October 1998, pp. 126–132 (1998)Google Scholar
  21. 21.
    Phuong, N.H., Santiprabhob, P., Hirota, K.: A fuzzy modelling for modifying standard prescriptions of oriental traditional medicine. J. Adv. Comput. Intell. Intell. Inform. 7(3), 339–346 (2003)CrossRefGoogle Scholar
  22. 22.
    Thang, C., Cooper, E.W., Hoshino, Y., Kamei, K., Phuong, N.H.: A proposed model of diagnosis and prescription in oriental medicine using RBF neural networks. J. Adv. Comput. Intell. Intell. Inform. 10(4), 444–450 (2006)CrossRefGoogle Scholar
  23. 23.
    Phuong, N.H., Nguyen, A., Thuy, T.H.: An approach to pulse symbols based fuzzy reasoning in diagnosis of traditional Vietnamese medicine including the importance of symptoms. In: Kearfott, R.B., et al. (eds.) Fuzzy Techniques: Theory and Applications, pp. 406–416. Springer, Cham (2019). (2019 IFSA World Congress and NAFIPS Annual Conference, 18–22 June 2019, Lafayette, Louisiana, USA)CrossRefGoogle Scholar
  24. 24.
    Nu, M.T., Phuong, N.H., Dung, H.T.: STRESSDIAG: a fuzzy expert system for diagnosis of stress types including positive and negative rules. In: Kearfott, R.B., et al. (eds.) Fuzzy Techniques: Theory and Applications, pp. 371–381. Springer, Cham (2019). (2019 IFSA World Congress and NAFIPS Annual Conference, 18–22 June 2019, Lafayette, Louisiana, USA)CrossRefGoogle Scholar

Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

Authors and Affiliations

  • Hoang Phuong Nguyen
    • 1
    Email author
  • Lam Tung Vu
    • 2
  • Thuy Hong Truong
    • 3
  • Kaoru Hirota
    • 4
  1. 1.Thang Long UniversityHanoiVietnam
  2. 2.Nam Dinh University of Technical PedalogyNam ĐịnhVietnam
  3. 3.Thai Nguyen University of Medicine and PharmacyThái NguyênVietnam
  4. 4.Beijing Institute of TechnologyBeijingChina

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