A fuzzy expert system design for diagnosis of cancer
Milindkumar V. Sarode, Prashant R. Deshmukh · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2010
Here a fuzzy expert system design for diagnosing, analyzing and learning purpose of the cancer diseases is described. For this process prostate specific antigen (PSA), age and prostate volume (PV) has been used as an input parameters and prostate cancer risk (PCR) as an 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. It is 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.