کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
383200 660808 2013 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Fuzzy expert system for predicting pathological stage of prostate cancer
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Fuzzy expert system for predicting pathological stage of prostate cancer
چکیده انگلیسی

Prostate cancer is the second most common cancer among men, responsible for the loss of half a million lives each year worldwide, according to the World Health Organization. In prostate cancer, definitive therapy such as radical prostatectomy, is more effective when the cancer is organ-confined. The aim of this study is to investigate the performance of some fuzzy expert systems in the classification of patients with confined or non-confined cancer. To deal with the intrinsic uncertainty about the variables utilized to predict cancer stage, the developed approach is based on Fuzzy Set Theory. A fuzzy expert system was developed with the fuzzy rules and membership functions tuned by a genetic algorithm. As a result, the utilized approach reached better precision taking into account some correlated studies.


► We model a system for predicting pathological stage of prostate cancer.
► We develop a hybrid system: a rule-based fuzzy system where a genetic algorithm is used to optimize the parameters.
► Performance of genetic-fuzzy system constructed, for the database used, show superior Partin tables.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 40, Issue 2, 1 February 2013, Pages 466–470
نویسندگان
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