Title :
Employing artificial intelligence techniques in Mental Health Diagnostic Expert System
Author :
Masri, Rozita Yati ; Jani, Hajar Mat
Author_Institution :
Dept. of Syst. & Networking, Univ. Tenaga Nasional, Kajang, Malaysia
Abstract :
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.
Keywords :
fuzzy logic; fuzzy set theory; genetic algorithms; inference mechanisms; knowledge based systems; medical expert systems; patient diagnosis; patient treatment; psychology; AI reasoning techniques; Malaysian psychology industry; MeHDES; artificial intelligence reasoning techniques; fuzzy logic; fuzzy-GA; fuzzy-genetic algorithm; knowledge base system; mental health diagnostic expert system; mental patient diagnosis; mental patient treatment; rule-based reasoning; Biological cells; Education; Sociology; Statistics; expert system; fuzzy logic; fuzzy-genetic algorithm; rule-based reasoning;
Conference_Titel :
Computer & Information Science (ICCIS), 2012 International Conference on
Conference_Location :
Kuala Lumpeu
Print_ISBN :
978-1-4673-1937-9
DOI :
10.1109/ICCISci.2012.6297296
