What is it about?
In this study, the diagnosis of RA was made with two different methods using a fuzzy expert system (FES) and machine learning (ML) techniques, which were designed and implemented with the help of a specialist in the field, and the results were compared. For this purpose, blood counts were taken from 286 people, including 91 men and 195 women from various age groups.
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Why is it important?
The study is important because of its high diagnostic success. (FES accuracy: 94.05%, ML accuracy: 97.90)
Perspectives
It was a great pleasure to prepare this work. We are happy that users will be able to diagnose this disease, which is difficult to diagnose, over the web.
Fatih TARAKCI
Selcuk Universitesi
Read the Original
This page is a summary of: Diagnosing rheumatoid arthritis disease using fuzzy expert system and machine learning techniques, Journal of Intelligent & Fuzzy Systems, April 2023, IOS Press,
DOI: 10.3233/jifs-221582.
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