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Verification of Medical Guidelines Using Background Knowledge in Task Networks
"... Abstract—The application of a medical guideline to the treatment of a patient’s disease can be seen as the execution of tasks, sequentially or in parallel, in the face of patient data. It has been shown that many of such guidelines can be represented as a “network of tasks, ” that is, as a sequence ..."
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Abstract—The application of a medical guideline to the treatment of a patient’s disease can be seen as the execution of tasks, sequentially or in parallel, in the face of patient data. It has been shown that many of such guidelines can be represented as a “network of tasks, ” that is, as a sequence of steps that have a specific function or goal. In this paper, a novel methodology for verifying the quality of such guidelines is introduced. To investigate the quality of such guidelines, we propose to include medical background knowledge to task networks and to formalize criteria for good medical practice that a guideline should comply with. This framework was successfully applied to a guideline dealing with the management of diabetes mellitus type 2 by using KIV. Index Terms—Medical guidelines, background knowledge, formal verification, temporal logic. Ç 1
Semantic Web Ontology Utilization for Heart Failure Expert System Design. Organizing Committee
- of MIE 2008. IOS Press. International Journal of Computer Applications (0975 – 8887) Volume 112
, 2008
"... Abstract. In this work we present the usage of semantic web knowledge representation formalism in combination with general purpose reasoning for building a medical expert system. The properties of the approach have been studied on the example of the knowledge base construction for decision support ..."
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Abstract. In this work we present the usage of semantic web knowledge representation formalism in combination with general purpose reasoning for building a medical expert system. The properties of the approach have been studied on the example of the knowledge base construction for decision support tasks in the heart failure domain. The work consisted of descriptive knowledge presentation in the ontological form and its integration with the heart failure procedural knowledge. In this setting instance checking in description logic represents the main process of the expert system reasoning.
T.: The Importance of Creating an Ontology-Specific Consensus Before a MarkupBased Specification of Clinical Guidelines
- In: AI techniques in healthcare: evidencebased guidelines and protocols; Workshop at the 17th European Conference on Artificial Intelligence
, 2006
"... ABSTRACT. We have previously developed the Digital electronic Guideline Library (DeGeL) framework, which includes a methodology for a markup-based, increasingly formal structuring of free-text clinical guidelines (GLs), and tools to support guideline-based application. The methodology includes activ ..."
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ABSTRACT. We have previously developed the Digital electronic Guideline Library (DeGeL) framework, which includes a methodology for a markup-based, increasingly formal structuring of free-text clinical guidelines (GLs), and tools to support guideline-based application. The methodology includes activities be-fore, during and after the markup process. To reduce the ambiguity of the interpretation of a GL among the Expert Physicians (EPs) who are marking up the GL, and to achieve an interpretation common to the EPs and the knowledge engineers (KEs), an indispensable step before markup is the creation of an Ontology Specific Consensus (OSC) regarding the semantics of the GL. To evaluate the role of the OSC, we created OSCs for three GLs in incremental level of de-tail, using the Asbru GL ontology. The EPs quantified the subjective aspects that most helped them in creating the OSC, while we assessed the clinical and ontological markup errors committed by the EPs. Using medical knowledge and understanding the GL ontology were considered more helpful than understanding the DeGeL tools; and the more detailed the OSC, the less the number of markup errors committed. 1
Encoding and verification of a computer- interpretable guideline: a case study of pressure-ulcer management
"... Abstract This study examined ways to improve the accuracy of translating clinical practice guidelines (CPGs) into a computer-interpretable guideline (CIG) for pressure-ulcer management using the Shareable Active Guideline Environment (SAGE) guideline model, and aimed to verify the accuracy of the o ..."
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Abstract This study examined ways to improve the accuracy of translating clinical practice guidelines (CPGs) into a computer-interpretable guideline (CIG) for pressure-ulcer management using the Shareable Active Guideline Environment (SAGE) guideline model, and aimed to verify the accuracy of the obtained CIG. The study was conducted using the following procedures: selecting CPGs, extracting rules from the selected CPGs, developing a CIG using the SAGE guideline model, and verifying the obtained CIG with test cases using an execution engine. The CIG for pressure-ulcer management was developed based on 38 rules and three algorithms at the semiformal representation level using MS Excel and MS Visio. The CIG was encoded by two Activity Graphs consisting of 115 instances representing algorithms and rules as knowledge elements in the SAGE guideline model. Two errors were found and corrected. Results of the study demonstrated that a CIG representing knowledge on pressure-ulcer management can be effectively developed using commonly available programs and the SAGE guideline model, and that the obtained CIG can be verified with a locally developed execution engine. The CIG developed in the study could contribute to health information management once it is implemented successfully in a clinical decision support system.
Exploring MWEs for Knowledge Acquisition from Corporate Technical Documents
"... High frequency can convert a word sequence into a multiword expression (MWE), i.e., a collocation. In this paper, we use collocations as well as syntactically-flexible, lexicalized phrases to analyze ‘job specification documents’ (a kind of corporate technical document) for subsequent acquisition of ..."
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High frequency can convert a word sequence into a multiword expression (MWE), i.e., a collocation. In this paper, we use collocations as well as syntactically-flexible, lexicalized phrases to analyze ‘job specification documents’ (a kind of corporate technical document) for subsequent acquisition of automated knowledge elicitation. We propose the definition of structural and functional patterns of specific corporate documents by analyzing the contexts and sections in which the expression occurs. Such patterns and its automated processing are the basis for identifying organizational domain knowledge and business information which is used later for the first instances of requirement elicitation processes in software engineering. 1
