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A review clinical decision support system using ontology

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dc.contributor.affiliationsFaculty of Science and Technology
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.affiliationsUniversiti Kebangsaan Malaysia (UKM)
dc.contributor.authorAmr R.M.-N.A.en_US
dc.contributor.authorZakaria L.Q.en_US
dc.contributor.authorIsmail W.en_US
dc.date.accessioned2024-05-29T01:56:09Z
dc.date.available2024-05-29T01:56:09Z
dc.date.issued2020
dc.descriptionRawia Mohamed-Najeeb Abu Amr, Lailatul Qadri Zakaria, Waidah Ismail. (2020). A Review Clinical Decision Support System using Ontology. International Journal of Advanced Science and Technology, 29(6s), 1530 - 1541. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/9294en_US
dc.description.abstractA decision support system (DSS) is an intelligent system by which a decision support is provided for decision-making purpose. DSS extensively requires a representation of domain knowledge to apply reasoning methods that help in reaching new knowledge for decision support. Due to the benefits of Ontology compared with database system, it considered as knowledge representation in several DSS. DSSs have been extensively addressed in many research like healthcare, therefore it was named Clinical Decision Support System (CDSS). In this paper, a review on reasoning methods that has been utilized on CDSS has been conducted. The review is achieved through comparing and analysing the benefits and drawbacks of CDSS reasoning methods as well as surveying the current reasoning methods used in ontology based CDSS. After analysis, it has been revealed that the integration of the Case-Based Reasoning (CBR) method and Rule-Based Reasoning (RBR) methods facilitates the operation of CDSS to mimic clinical staff members. This integration is recommended since the CDSS will contain the two sources of knowledge which are domain knowledge and knowledge from historical cases. Furthermore, the review shows that ontology has been used in several CDSS but still not been integrated with CBR and RBR. � 2020 SERSC.en_US
dc.identifier.epage1541
dc.identifier.issn20054238
dc.identifier.issue6 Special Issue
dc.identifier.scopus2-s2.0-85083366019
dc.identifier.spage1530
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85083366019&partnerID=40&md5=75d75d4ecd6455a55d982b73e04d17b2
dc.identifier.urihttp://sersc.org/journals/index.php/IJAST/article/view/9294
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/9801
dc.identifier.volume29
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherScience and Engineering Research Support Societyen_US
dc.relation.ispartofInternational Journal of Advanced Science and Technologyen_US
dc.sourceScopus
dc.subjectCDSS,en_US
dc.subjectKnowledge,en_US
dc.subjectReasoning,en_US
dc.subjectontologyen_US
dc.titleA review clinical decision support system using ontologyen_US
dc.typeArticleen_US
dspace.entity.typePublication

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