Studies in health technology and informatics · 2003 · 13 citations · 7 references
Disease ManagementEngineeringSoftware EngineeringSemantic WebSemanticsNon-communicable DiseaseText MiningChronic Disease ManagementData ScienceInformation RetrievalPublic HealthInterpretative FrameworkHealth Services ResearchXml LibraryHealth PolicyRule LanguageKnowledge DiscoveryClinical DataSoftware DesignGem DtdXml LanguageGem ApplicationTextual Guideline Gem-encodingAutomated ReasoningRule-based SystemDecision RulesStructured DocumentHealth InformaticsData Modeling
The aim of this work is to develop an XML-based application for the automated generation of decision rules from a textual guideline encoded using the Guideline Elements Model (GEM). A formalization of guideline-based chronological steps of treatment has been proposed to resolve the semantic ambiguities of the original document. The GEM DTD has been extended in order to standardize both decision variable and action representations in recommendations. Under these assumptions, the 1999 Canadian Recommendations for the management of hypertension have been marked-up as a GEM-encoded instance of the extended DTD. An XML parser has been used to extract the relevant elements as IF and THEN clauses of decision rules. This GEM application generated 104 rules to be compared to the 98 rules manually developed from the same guideline during the ASTI project.
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