A fuzzy expert system design for diagnosis of prostate cancer

Authors:
Ismail Saritas;Novruz Allahverdi;Ibrahim Unal Sert
Affiliations:
Department Electronics and Computer Education, Technical Education Faculty, Selçuk University, Konya/Turkey;Department Electronics and Computer Education, Technical Education Faculty, Selçuk University, Konya/Turkey;Department of Urology, Meram Faculty of Medicine, Selçuk University, Konya/Turkey
Venue:
CompSysTech '03 Proceedings of the 4th international conference conference on Computer systems and technologies: e-Learning
Year:
2003

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Abstract

In this study a fuzzy expert system design for diagnosing, analyzing and learning purpose of the prostate cancer diseases was described. For this prostate was used prostate specific antigen (PSA), age and prostate volume (PV) as input parameters and prostate cancer risk (PCR) as output. This system allows determining if there is a need for the biopsy and it gives to user a range of the risk of the cancer diseases. There was observed that this system is rapid, economical, without risk than traditional diagnostic systems, has also a high reliability and can be used as learning system for medicine students.