Fuzzy Expert System for Rectal Cancer

  • Yusif R. Aliyarov
  • Latafat A. GardashovaEmail author
  • Shamil A. Ahmadov
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 896)


Colorectal cancer is the second most common cancer in women and the third most common cancer in men. The goal of this paper is to design a fuzzy rule based medical expert system for colorectal cancer. In the initial stage of the conceptual modeling the designation parameter of a colorectal cancer was performed using clinical data. The goal of the next stage consists of the soft computing based evaluation of the factors. At the third stages is given a possibility measure based fuzzy inference algorithm and examples. In developing knowledge-base of the offered system 2 years case data of 70 persons (patient) of the National Center of Oncology are used. Veracity of 20 diagnoses of patients was checked, and 15 from them were defined as correct.


Colorectal cancer IF-THEN rules Possibility measure based inference system Tumor response 


  1. 1.
    Siegel, R.L., Miller, K.D., Fedewa, S.A., Ahnen, D.J., Meester, R.G.S., Barzi, A., Jemal, A.: Colorectal cancer statistics. CA Cancer J. Clin. 67(3), 177–193 (2017)CrossRefGoogle Scholar
  2. 2.
    Farin Amersi, M.D., Michelle Agustin, M.P.H., Ko, C.Y.: Colorectal cancer: epidemiology, risk factors, and health services. Clin. Colon. Rectal. Surg. 18(3), 133–140 (2005)CrossRefGoogle Scholar
  3. 3.
    Grumett, S., Snow, P., Kerr, D.: neural networks in the prediction of survival in patients with colorectal cancer. Clin. Color. Cancer 2(4), 239–244 (2003)CrossRefGoogle Scholar
  4. 4.
    Amato, F., López, A., Peña-Méndez, E.M., Vaňhara, P., Hampl, A., Havel, J.: Artificial neural networks in medical diagnosis. J. Appl. Biomed. 11, 47–58 (2013)CrossRefGoogle Scholar
  5. 5.
    Rivas Echeverría, F., Rivas Echeverría, C.: Application of expert systems in medicine. In: Proceedings of the 2006 Conference on Artificial Intelligence Research and Development, pp. 3–4. IOS Press, Amsterdam (2006)Google Scholar
  6. 6.
    Aliev, R.A., Aliev, R.R.: Soft Computing and its Application, p. 444. World Scientific, New Jersey, London, Singapore, Hong Kong (2001)Google Scholar
  7. 7.
    Abdullayev, T.S., Gardashova, L.A., Aliev, B.F., Aliev, A.G., Ismailov, B.I.: Fuzzy expert system ESPLAN and its application in business, medicine and technics. In: Seventh International Conference on Application of Fuzzy Systems and Soft Computing, ICAFS-2006, Germany, 13–14 September 2006, pp. 205–215 (2006)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Yusif R. Aliyarov
    • 1
  • Latafat A. Gardashova
    • 2
    Email author
  • Shamil A. Ahmadov
    • 3
  1. 1.National Center of OncologyBakuAzerbaijan
  2. 2.Azerbaijan State Oil and Industry UniversityNasimi, BakuAzerbaijan
  3. 3.French-Azerbaijani UniversityBakuAzerbaijan

Personalised recommendations