| Dynamic Composition of Semantic Pathways for Medical Computational Problem Solving by Means of Semantic Rules. | |
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MedLine Citation:
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PMID: 21335316 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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This piece of work presents a semantic rule-based system for the composition of successful algorithmic pathways capable of solving medical computational problems (MCPs). A subset of medical algorithms referring to MCP solving concerns well known medical problems and their computational algorithmic solutions. These solutions result from computations within mathematical models, aiming to enhance healthcare quality via support for diagnosis and treatment automation, especially useful for educational purposes. Currently, there is a plethora of computational algorithms on the Web, which pertain to MCPs and provide all computational facilities required to solve a medical problem. An inherent requirement for the successful construction of algorithmic pathways for managing real medical cases is the composition of a sequence of computational algorithms. The aim of this paper is to approach the composition of such pathways via the design of appropriate finite state machines (FSM), the use of ontologies and SWRL semantic rules. The goal of semantic rules is to automatically associate different algorithms that are represented as different states of the FSM in order to result in a successful pathway. The rule-based approach is herein implemented on top of KnowBaSICS-M, an ontology-based system for MCP semantic management. Preliminary results have shown that the proposed system adequately produces algorithmic pathways in agreement with current international medical guidelines. |
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Authors:
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C Bratsas; P Bamidis; D Kehagias; E Kaimakamis; N Maglaveras |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-2-17 |
Journal Detail:
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Title: IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society Volume: - ISSN: 1558-0032 ISO Abbreviation: - Publication Date: 2011 Feb |
Date Detail:
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Created Date: 2011-2-21 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9712259 Medline TA: IEEE Trans Inf Technol Biomed Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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