Abstract
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.
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Aliyarov, Y.R., Gardashova, L.A., Ahmadov, S.A. (2019). Fuzzy Expert System for Rectal Cancer. In: Aliev, R., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Sadikoglu, F. (eds) 13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018. ICAFS 2018. Advances in Intelligent Systems and Computing, vol 896. Springer, Cham. https://doi.org/10.1007/978-3-030-04164-9_23
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DOI: https://doi.org/10.1007/978-3-030-04164-9_23
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