Title: Design and Development of a Knowledge-Based System for Medical Diagnosis
Authors: Hiba Basem Ali Abu Kwaik and Samy S. Abu-Naser
Volume: 9
Issue: 8
Pages: 111-115
Publication Date: 2025/08/28
Abstract:
Expert systems have emerged as critical tools in modern healthcare, enhancing diagnostic accuracy and clinical decision-making in both primary care and specialist settings. This paper presents the design and implementation of a knowledge-based expert system tailored for the medical diagnosis of high-prevalence diseases in Gaza. Utilizing rule-based reasoning and a curated medical knowledge base, the system delivers reliable, interpretable diagnostic suggestions through a forward-chaining inference engine. Key contributions include a modular architecture that enables incremental knowledge updates and a web-based interface optimized for clinician usability. Evaluation results demonstrate a 92% average diagnostic accuracy across 100 test cases involving diabetes, hypertension, and anemia, with an average user satisfaction score of 4.3 out of 5 from medical professionals. The study highlights the potential of such systems to augment healthcare delivery in resource-constrained environments.