Analysis of Parameter Relationships Influencing Prostate Cancer using the Soft Set Model


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Authors

  • Zehra Güzel Ergül Kırşehir Ahi Evran University
  • Naime Demirtaş Mersin University
  • Orhan Dalkılıç Mersin University

DOI:

https://doi.org/10.59287/icaens.1080

Keywords:

Soft Set, Prostat Cancer, PSA, fPSA, PV, AGE, Algorithm

Abstract

The diagnosis of prostate cancer relies on various commonly used criteria, including PSA, fPSA, PV and AGE. This study explores the application of the soft set model to analyze these parameters and determine their relationships, aiming to identify the most influential parameter for the diagnosis of prostate cancer. Through the analysis of these parameters, the dominant parameter is determined, enabling healthcare professionals to prioritize and focus on the most significant factor when assessing the likelihood of prostate cancer in patients. The findings of this research provide valuable insights for medical practitioners to make informed decisions in the management of prostate cancer.

Author Biographies

Zehra Güzel Ergül, Kırşehir Ahi Evran University

Department of Mathematics,  Turkey

Naime Demirtaş, Mersin University

Department of Mathematics, Turkey

Orhan Dalkılıç, Mersin University

Department of Mathematics, Turkey

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Published

2023-07-21

How to Cite

Güzel Ergül, Z., Demirtaş, N., & Dalkılıç, O. (2023). Analysis of Parameter Relationships Influencing Prostate Cancer using the Soft Set Model. International Conference on Applied Engineering and Natural Sciences, 1(1), 682–687. https://doi.org/10.59287/icaens.1080