BAYESIAN NETWORK AND DEMPSTER-SHAFER THEORY FOR EARLY DIAGNOSIS OF EYE DISEASES

• Published in: Compusoft: an international journal of advanced computer technology Vol. 9; no. 4; pp. 3642 - 3651
• Main Authors: Kurniawan, Rahmad, Nazri, Mohd Zakree Ahmad, Abdullah, Siti Norul Huda Sheikh, Othman, Zulaiha Ali, Abdullah, Salwani
• Format: Journal Article
• Language: English
• Published: Mumbai COMPUSOFT, An International Journal of Advanced Computer Technology 01.04.2020
• Subjects: Artificial intelligence; Bayesian analysis; Comparative studies; Decision making; Dempster-Shafer Method; Diagnosis; Diagnostic systems; Expert systems; Experts; Eye diseases; Glaucoma; Knowledge; Knowledge acquisition; Literature reviews; Machine learning; Medical personnel; Neural networks; Patients; Performance evaluation; Reasoning; Reasoning programs; Research methodology; Researchers; Signs and symptoms

An accurate self-diagnosis expert system would prevent the progression of chronic eye disease. However, developing an expert system for medical diagnose requires a robust reasoning capability. In the knowledge acquisition phase, a knowledge engineer faces several issues. For example, an eye disease...