Employing artificial intelligence techniques in Mental Health Diagnostic Expert System

• Main Authors: Masri R.Y., Mat Jani H.
• Other Authors: 25825324000
• Format: Conference paper
• Published: 2023
• Subjects: expert system; fuzzy logic; fuzzy-genetic algorithm; rule-based reasoning; Artificial intelligence; Budget control; Fuzzy logic; Health; Information science; Patient treatment; Technology; Artificial intelligence techniques; Diagnostic expert system; Fuzzy genetic algorithms; Health condition; Human expert; Knowledge base; Malaysians; Mental health; Reasoning techniques; Rule based reasoning; Treatment plans; Expert systems

The Mental Health Diagnostic Expert System (MeHDES) is proposed to assist the Malaysian psychology industry in diagnosing and treating their mental patients, and also to allow each mental patient to have several options on selecting a treatment plan that fits their budget without jeopardizing their overall health conditions. MeHDES will be using three artificial intelligence (AI) reasoning techniques: rule-based reasoning, fuzzy logic, and fuzzy-genetic algorithm (fuzzy-GA). The human experts' knowledge in the area of mental health and disorders will be transformed and encoded into a knowledge base using the rule-based reasoning technique; fuzzy logic then allows the severity level of a particular disorder to be measured; and fuzzy-GA will be used to determine and propose the suitable treatment for each of the mental patients based on their budget and their overall health conditions. � 2012 IEEE.