A fuzzy approach for determination of prostate cancer

Abstract

Goal of this study is a design of a fuzzy expert system, its application aspects in the medicine area and its introduction for calculation of numeric value of prostate cancer risk. For this aim it was used prostate specific antigen (PSA), age and prostate volume (PV) as system input parameters and prostate cancer risk (PCR) as output. This system gives user a range of the risk of the cancer disease and facilitates the decision of the doctor if there is a need for the biopsy. The designed system was tested by the data from the literature and the clinical data. It was compared the diagnoses data of specialists of the every disease situation and literature data and it was seen that the system can be available for every situation. It is observed that this system is rapid because it needs minimum calculation, economical, without any risk than traditional diagnostic systems, has also a high reliability than the other system and can be used as assistant system for physicians. Having used in the hospital this system was tested as decision support system and the approach used in this study can be used in difference studies and analyses, because the system is transparent and explainable to a user. Keywords: Fuzzy logic, fuzzy expert system, prostate cancer, prostate specific antigen, prostate cancer risk.

Authors and Affiliations

I. Saritas*| Faculty of Technology, Selcuk University Campus,Konya,Turkey. Tel: +90 332 2233354; E-mail:isaritas@selcuk.edu.tr, N. Allahverdi| Faculty of Technology, Selcuk University Campus,Konya,Turkey. Tel: +90 332 2233329; E-mail:noval@selcuk.edu.tr, U. Sert| Meram Medicine Faculty,Necmettin Erbakan University,Konya,Turkey. Tel: +90 332 2233329; E-mail:unalsert@hotmail.com

Keywords

Related Articles

Intrusion Detection Forecasting Using Time Series for Improving Cyber Defence

The strength of time series modeling is generally not used in almost all current intrusion detection and prevention systems. By having time series models, system administrators will be able to better plan resource alloca...

Comparative Study of Krill Herd, Firefly and Cuckoo Search Algorithms for Unimodal and Multimodal Optimization

Today, in computer science, a computational challenge exists in finding a globally optimized solution from an enormously large search space. Various metaheuristic methods can be used for finding the solution in a large s...

Improving Intrusion Detection using Genetic Linear Discriminant Analysis

The objective of this research is to propose an efficient soft computing approach with high detection rates and low false alarms while maintaining low cost and shorter detection time for intrusion detection. Our results...

BAT algorithm for Cryptanalysis of Feistel cryptosystems

Recent cryptosystems constitute an effective task for cryptanalysis algorithms due to their internal structure based on nonlinearity. This problem can be formulated as NP-Hard. It has long been subject to various attacks...

An Analysis of Archive Update for Vector Evaluated Particle Swarm Optimization

Multi-objective optimization problem is commonly found in many real world problems. In computational intelligence, Particle Swarm Optimization (PSO) algorithm is a popular method in solving optimization problems. An exte...

Download PDF file
  • EP ID EP736
  • DOI -
  • Views 557
  • Downloads 36

How To Cite

I. Saritas*, N. Allahverdi, U. Sert (2013). A fuzzy approach for determination of prostate cancer. International Journal of Intelligent Systems and Applications in Engineering, 1(1), 1-7. https://europub.co.uk/articles/-A-736