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Multilayered rule-based expert system for diagnosing uveitis
سیستم تخصصی چند لایه مبتنی بر قانون برای تشخیص یووئیت-2019 Uveitis is a condition caused by inflammation of the uvea, which is the middle layer of the eye. Uveitis can result in
swelling or destruction of the eye tissue, which can lead to visual impairment or blindness [1]. Many diseases, either
systemic or localized to the eye, are associated with the symptoms of uveitis. Thus, it is often hard to determine the
underlying disease responsible for uveitis, especially when the signs and symptoms are unclear. Additionally, there
are few experts on uveitis, especially in poor and developing countries. In this paper, we design and build a rulebased
expert system to diagnose uveitis. The main motivation for developing this expert system was to mitigate the
lack of human experts by helping general ophthalmologists achieve a correct diagnosis with minimal time and effort.
Furthermore, the system can act as a good educational tool for newly graduated doctors, guiding their work with
their patients and supporting their diagnostic decisions. The novel multilayer design of the system allows flexibility
and ease of scaling to new cases in the future. Many techniques were used to improve the system’s diagnostic
flexibility and overcome incomplete user input. Tests of the system have yielded promising results. Keywords: Rule-based system | Uveitis | Knowledge-based system | Multilayer rules | Expert systems |
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