A course in fuzzy systems and control
A course in fuzzy systems and control
Survey of utilisation of fuzzy technology in medicine and healthcare
Fuzzy Sets and Systems - Special issue on clustering and learning
A fuzzy expert system design for diagnosis of prostate cancer
CompSysTech '03 Proceedings of the 4th international conference conference on Computer systems and technologies: e-Learning
A fuzzy logic based-method for prognostic decision making in breast and prostate cancers
IEEE Transactions on Information Technology in Biomedicine
Hi-index | 0.00 |
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.