Fuzzy Expert System for Prediction of Prostate Cancer-Reference-Cited by-同舟云学术

Fuzzy Expert System for Prediction of Prostate Cancer

Published:2020-03 Issue:01 Volume:16 Page:163-176
ISSN:1793-0057
Container-title:New Mathematics and Natural Computation
language:en
Short-container-title:New Math. and Nat. Computation

Author:

Mahanta Juthika¹,Panda Subhasis²

Affiliation:

1. Department of Mathematics, National Institute of Technology Silchar, Silchar, Cachar, Assam 788010, India

2. Department of Physics, National Institute of Technology Silchar, Silchar, Cachar, Assam 788010, India

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 [Formula: see text] Free PSA ([Formula: see text]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 [Formula: see text], 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 [Formula: see text] whereas only for positive biopsy cases it rises to [Formula: see text]. This simple yet effective FES can be used as supportive tool for decision-making in medical diagnosis.

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Computer Science Applications,Human-Computer Interaction

Link

https://www.worldscientific.com/doi/pdf/10.1142/S1793005720500106

Reference16 articles.

1. Fuzzy sets

2. Neuro-fuzzy system for prostate cancer diagnosis

3. Application of soft sets to diagnose the prostate cancer risk

4. A fuzzy logic based-method for prognostic decision making in breast and prostate cancers

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