Integrated Fuzzy System For Determining Prostate Cancer Risk

Prostate cancer biopsy decision is a complex process which is based on various variables but no definitive cut-off value can be used. Due to this limitation, a person who does not actually have the disease may undergo biopsy, a difficult process with infection risk. The aim of this study is to determine the risk of prostate cancer and to provide support to the physician during a biopsy decision and to determine the performance of the fuzzy logic approach in determining prostate cancer risk. As a result of the interviews with urologists, it was not possible to establish a common opinion about the input variables of the system and their evaluation in a single system. Therefore, the risk of cancer was determined by fuzzy models designed with different approaches and fuzzy models were integrated to each other according to their performance in determining prostate cancer risk. As a result of this integration, a fuzzy system was developed. The fuzzy system developed with this study identified the risk of prostate cancer with 0.710 AUC.