Diagnosis modelling of urethral obstructions using fuzzy expert system

  • Authors:
  • Kürşat Zühtüoǧullari;Ismail Saritaş;Nihat Arikan

  • Affiliations:
  • Selçuk University, Konya/Turkey;Selçuk University, Konya/Turkey;Ankara University, Ankara/Turkey

  • Venue:
  • CompSysTech '08 Proceedings of the 9th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

The aim of this study is to help the doctors for diagnosis process of urinary system illnesses that causes obstruction in the urethra and the bladder. There are several reasons that cause obstructions in the urinary system. The common causes of these obstructions are prostate cancers, verimontanum hypertrophies, detrusor instabilities, urinary incontinence, the bladder cancer and malfunctions. This study is to help the specialist doctors about the evaluation process of the uroflowmetric measurements that are made to determine the intensity of the urinary obstructions. The average flowrate (ml) and the residual urine volume measured in the bladder are accepted as the input variables of the fuzzy logic system. The output variable is the urinary obstruction rate of the urethra. When the obstruction reaches the dangerous levels, it means that the severity of the obstruction in the urethra is high and this obstruction can easily give harm to the kidneys and at the advanced stages of the illness it can cause real failure. Matlab 7 Fuzzy Logic Toolbox is used for the simulation of the fuzzy logic urinary obstruction diagnosis system.