Publication:
Knowledge-based expert system for predictive classification of main specific learning disabilities

dc.contributor.authorR. M. Raslien_US
dc.contributor.authorN. A. A. Azizen_US
dc.contributor.authorS. A. Salimen_US
dc.contributor.authorF. M. Razalien_US
dc.contributor.authorN. M. Norwawien_US
dc.contributor.authorNurlida Basiren_US
dc.date.accessioned2024-05-28T03:50:54Z
dc.date.available2024-05-28T03:50:54Z
dc.date.issued2018
dc.description.abstractConventional or the automation of computer-based screening and diagnosis is part of the methods that can assist to identify and detect these problematic students. However, several limitation or constraints have been identified leading towards the design and development of an innovative rapid web-oriented knowledge-based expert systems for predictive classification of five main types of specific learning disabilities namely dyslexia, dysgraphia, dyscalculia, dyspraxia and Attention Deficit Disorder/Attention Deficit Hyperactivity Disorder (ADD/ADHD). The result is displayed in a graphical form (chart and table) to make ease of understanding. This study is beneficial for parents, special education teachers, organizations and researchers by providing an alternative to the exclusion of redundant test and time saving for early screening of specific learning disabilities.en_US
dc.identifier.doi10.4314/jfas.v10i6s.12
dc.identifier.epage494
dc.identifier.issn1112-9867
dc.identifier.issue6S
dc.identifier.other302-25
dc.identifier.spage482
dc.identifier.urihttps://www.ajol.info/index.php/jfas/article/view/171706
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/5150
dc.identifier.volume10
dc.language.isoenen_US
dc.publisherUniversity of El Oueden_US
dc.relation.ispartofJournal of Fundamental and Applied Sciencesen_US
dc.subjectknowledge-based expert systems;en_US
dc.subjectpredictive classification;en_US
dc.subjectspecific learning disabilitiesen_US
dc.titleKnowledge-based expert system for predictive classification of main specific learning disabilitiesen_US
dc.typeArticleen_US
dspace.entity.typePublication

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