A fuzzy expert system design for diagnosis of cancer

Milindkumar V. Sarode; Prashant R. Deshmukh

doi:10.1117/12.853225

26 February 2010 A fuzzy expert system design for diagnosis of cancer

Milindkumar V. Sarode, Prashant R. Deshmukh

Proceedings Volume 7546, Second International Conference on Digital Image Processing; 754630 (2010) https://doi.org/10.1117/12.853225
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore

Abstract

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.

Citation Download Citation

Milindkumar V. Sarode and Prashant R. Deshmukh "A fuzzy expert system design for diagnosis of cancer", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 754630 (26 February 2010); https://doi.org/10.1117/12.853225

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