DIAGNOSIS KANKER PROSTAT MENGGUNAKAN FUZZY EXPERT SYSTEM

SARI, NAOMI ARDIANA (2007) DIAGNOSIS KANKER PROSTAT MENGGUNAKAN FUZZY EXPERT SYSTEM. Masters thesis, UNIVERSITAS SEBELAS MARET\.

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    Abstract

    ABSTRACT Naomi Ardiana Sari, 2007. DIAGNOSIS OF PROSTATE CANCER USING FUZZY EXPERT SYSTEM. Faculty of Mathematics and Natural Sciences. Sebelas Maret University. Fuzzy Expert System (FES) is an expert system with fuzzy inference, a soft co cific Antigen, mputing system based on fuzzy logic. FES has been developed and applied to solve many challenging problems in medical area. One of them is to diagnose prostate cancer. The aim of writing this thesis is analyzing and studying science journal of Saritas et al. about a Fuzzy Expert System design for diagnosis of prostate cancer. It used Prostate Specific Antigen (PSA), age, and Prostate Volume (PV) as the input parameters and Prostate Cancer Risk (PCR) as the output. These results can be suggested that FES has the potential to accomplish significantly for diagnosing prostate cancer. The calculation result using FES show a good general agreement with the expert doctors’ prediction. Furthermore, FES for diagnosis of prostate cancer can give a percentage, the possibility of prostate cancer and helps the doctors to decide to take a biopsy act. Keywords: Fuzzy logic, expert system, prostate cancer, Prostate Spe Prostate Volume.

    Item Type: Thesis (Masters)
    Subjects: Q Science > QA Mathematics
    Q Science > QA Mathematics > QA76 Computer software
    R Medicine > R Medicine (General)
    Divisions: Fakultas Matematika dan Ilmu Pengetahuan Alam > Matematika
    Depositing User: Saputro Bagus
    Date Deposited: 15 Jul 2013 15:55
    Last Modified: 15 Jul 2013 15:55
    URI: https://eprints.uns.ac.id/id/eprint/4326

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