Abstract

In recent years great attention has been paid to studies on artificial intelli- gence since it can be applied easily to several areas like medical diagnosis, engineering and economics, among others. In this paper we present an example in medicine which aims to diagnose the patients with high prostate cancer risk using a multi-criteria decision making method.Our datas set is prostate specific antigen (PSA), free prostate specific antigen (fPSA), prostate volume (PV) and age factors of 78 patients from Necmettin Erbakan University Meram Medicine Faculty. An artificial neural network related to the consistency of convergence coefficients calculated by the Fuzzy TOPSIS method [32] is established.Thus, we understand the accuracy of the results from the Fuzzy TOPSIS method.

Details

Title
CONSISTENCY MEASUREMENT USING THE ARTIFICIAL NEURAL NETWORK OF THE RESULTS OBTAINED WITH FUZZY TOPSIS METHOD FOR THE DIAGNOSIS OF PROSTATE CANCER
Author
Demirtaş, N; Dalkılıç, O
First page
237
Publication year
2021
Publication date
2021
Publisher
Elman Hasanoglu
e-ISSN
21461147
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2477254711
Copyright
© 2021. This work is licensed under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.