Publication:
Student�s Mental Health Diagnostic Expert System Using DASS Analysis and Rule-Based Reasoning: A Proposal

Simple item page
dc.citedby0
dc.contributor.authorAzami N.H.en_US
dc.contributor.authorSalleh F.H.M.en_US
dc.contributor.authorRadzi H.M.en_US
dc.contributor.authorGorment N.Z.en_US
dc.contributor.authorAziz A.I.A.en_US
dc.contributor.authorNee Y.J.en_US
dc.contributor.authorid54944977900en_US
dc.contributor.authorid26423229000en_US
dc.contributor.authorid57211279880en_US
dc.contributor.authorid57201987388en_US
dc.contributor.authorid58307855700en_US
dc.contributor.authorid58308721600en_US
dc.date.accessioned2024-10-14T03:20:58Z
dc.date.available2024-10-14T03:20:58Z
dc.date.issued2023
dc.description.abstractThe emergence of coronavirus disease (COVID-19) in December 2019 has led to major economic and social disruption in the new decade of twenty-first century. People from all walks of life are aware of the severity of this COVID-19 pandemic and probably feeling exhausted from the anxiety of it all. It has also brought into focus the mental health of various affected populations including university students. They are known to be the vulnerable group who can be easily exposed to diverse mental health issues such as stress, anxiety, and depression. Hence, this mental health diagnostic expert system called Easy Psychology System is proposed to evaluate the condition of UNITEN student's mental health during COVID-19 pandemic using Depression, Anxiety and Stress Scale (DASS) analysis and Artificial Intelligence (AI) rule-based reasoning method. The goal of this paper is to identify the requirements needed to develop the system in a web-based application platform. A comparative study on existing similar psychology system is also presented. The design and architecture needed to develop the system is also discussed. A review analysis is done to gather the requirements to develop the system. The information gathered will help to develop the system accordingly. � 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-981-19-8406-8_22
dc.identifier.epage315
dc.identifier.scopus2-s2.0-85161378462
dc.identifier.spage305
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85161378462&doi=10.1007%2f978-981-19-8406-8_22&partnerID=40&md5=4a85cede5a2e43fbee7a63392917c89f
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34598
dc.identifier.volume983 LNEE
dc.pagecount10
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.sourceScopus
dc.sourcetitleLecture Notes in Electrical Engineering
dc.subjectArtificial intelligence
dc.subjectCOVID-19 pandemic
dc.subjectDASS analysis
dc.subjectExpert system
dc.subjectMental health
dc.subjectDiagnosis
dc.subjectExpert systems
dc.subjectStudents
dc.subjectCoronaviruses
dc.subjectCOVID-19 pandemic
dc.subjectDepression, anxiety and stress scale analyse
dc.subjectDiagnostic expert system
dc.subjectMental health
dc.subjectRule-based reasoning
dc.subjectScale analysis
dc.subjectStress scale
dc.subjectUniversity students
dc.subjectVulnerable groups
dc.subjectCOVID-19
dc.titleStudent�s Mental Health Diagnostic Expert System Using DASS Analysis and Rule-Based Reasoning: A Proposalen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
Files
Collections
SCOPUS