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Employing artificial intelligence techniques in Mental Health Diagnostic Expert System

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...

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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
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id	my.uniten.dspace-30250
record_format	dspace
spelling	my.uniten.dspace-302502023-12-29T15:45:54Z Employing artificial intelligence techniques in Mental Health Diagnostic Expert System Masri R.Y. Mat Jani H. 25825324000 13609136000 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. Final 2023-12-29T07:45:54Z 2023-12-29T07:45:54Z 2012 Conference paper 10.1109/ICCISci.2012.6297296 2-s2.0-84867919605 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867919605&doi=10.1109%2fICCISci.2012.6297296&partnerID=40&md5=7cfc82df3d7622aaca31e275ce8437d2 https://irepository.uniten.edu.my/handle/123456789/30250 1 6297296 495 499 Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
topic	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
spellingShingle	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 Masri R.Y. Mat Jani H. Employing artificial intelligence techniques in Mental Health Diagnostic Expert System
description	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.
author2	25825324000
author_facet	25825324000 Masri R.Y. Mat Jani H.
format	Conference paper
author	Masri R.Y. Mat Jani H.
author_sort	Masri R.Y.
title	Employing artificial intelligence techniques in Mental Health Diagnostic Expert System
title_short	Employing artificial intelligence techniques in Mental Health Diagnostic Expert System
title_full	Employing artificial intelligence techniques in Mental Health Diagnostic Expert System
title_fullStr	Employing artificial intelligence techniques in Mental Health Diagnostic Expert System
title_full_unstemmed	Employing artificial intelligence techniques in Mental Health Diagnostic Expert System
title_sort	employing artificial intelligence techniques in mental health diagnostic expert system
publishDate	2023
_version_	1806427753370615808
score	13.211869

Employing artificial intelligence techniques in Mental Health Diagnostic Expert System

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