A fuzzy approach for determination of prostate cancer
Journal Title: International Journal of Intelligent Systems and Applications in Engineering - Year 2013, Vol 1, Issue 1
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
- EP ID EP736
- DOI -
- Views 637
- Downloads 36
Validation of Registration for Renal Dynamic Contrast Enhanced MRI Imaging
In Dynamic Contrast Enhanced Resonance Imaging (DCE-MRI), abdomen is scanned repeatedly and rapidly after injection of a contrast agent. During data acquisition, collected images suffer from the motion induced by the pat...
Particle Swarm Optimization with Flexible Swarm for Unconstrained Optimization
Particle Swarm Optimization (PSO) algorithm inspired from behaviour of bird flocking and fish schooling. It is well-known algorithm which has been used in many areas successfully. However it sometimes suffers from premat...
Development Of HealthCare System For Smart Hospital Based On UML and XML Technology
The convergence of information technology systems in health care system building is causing us to look at more effective integration of technologies. Facing increased competition, tighter spaces, staff retention and redu...
Rainfall Runoff Modelling Using Generalized Neural Network and Radial Basis Network
Rainfall runoff study has a wide scope in water resource management. To provide a reliable prediction model is of paramount importance. Runoff prediction is carried out using generalized regression neural network and rad...
A Note on Entropy Subsethood Relationship
We comment on subsethood measure defined by Kosko and Young and give some new aspects of these measures. Finally we would like to discard the entropy subsethood relationship established by the authirs. We present some pr...