A fuzzy expert system design for diagnosis of prostate cancer

作者: Ismail Saritas , Novruz Allahverdi , Ibrahim Unal Sert

DOI: 10.1145/973620.973677

关键词:

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

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