Fuzzy Expert System for Prediction of Prostate Cancer

Juthika Mahanta and Subhasis Panda ()
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Juthika Mahanta: Department of Mathematics, National Institute of Technology Silchar, Silchar, Cachar, Assam 788010, India
Subhasis Panda: Department of Physics, National Institute of Technology Silchar, Silchar, Cachar, Assam 788010, India

New Mathematics and Natural Computation (NMNC), 2020, vol. 16, issue 01, 163-176

Abstract: A fuzzy expert system (FES) for the prediction of prostate cancer (PC) is prescribed in this paper. Age, prostate-specific antigen (PSA), prostate volume (PV) and % Free PSA (%FPSA) are fed as inputs into the FES and prostate cancer risk (PCR) is obtained as the output. Using knowledge-based rules in Mamdani type inference method the output is calculated. If PCR ≥50%, then the patient shall be advised to go for a biopsy test for confirmation. The efficacy of the designed FES is tested against a clinical dataset. The true prediction for all the patients turns out to be 68.91% whereas only for positive biopsy cases it rises to 73.77%. This simple yet effective FES can be used as supportive tool for decision-making in medical diagnosis.

Keywords: Prostate-specific antigen (PSA); prostate volume (PV); % free PSA (%FPSA); fuzzy expert system; prostate cancer (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1142/S1793005720500106

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