| Knowledge construction from time series data using a collaborative exploration system. | |
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MedLine Citation:
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PMID: 17988953 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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This paper deals with the exploration of biomedical multivariate time series to construct typical parameter evolution or scenarios. This task is known to be difficult: the temporal and multivariate nature of the data at hand and the context-sensitive aspect of data interpretation hamper the formulation of a priori knowledge about the kind of patterns that can be detected as well as their interrelations. This paper proposes a new way to tackle this problem based on a human-computer collaborative approach involving specific annotations. Three grounding principles, namely autonomy, adaptability and emergence, support the co-construction of successive abstraction levels for data interpretation. An agent-based design is proposed to support these principles. Preliminary results in a clinical context are presented to support our proposal. A comparison with two well-known time series exploration tools is furthermore performed. |
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Authors:
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Thomas Guyet; Catherine Garbay; Michel Dojat |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2007-10-09 |
Journal Detail:
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Title: Journal of biomedical informatics Volume: 40 ISSN: 1532-0480 ISO Abbreviation: J Biomed Inform Publication Date: 2007 Dec |
Date Detail:
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Created Date: 2007-11-20 Completed Date: 2008-01-04 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 100970413 Medline TA: J Biomed Inform Country: United States |
Other Details:
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Languages: eng Pagination: 672-87 Citation Subset: IM |
Affiliation:
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CNRS-TIMC/LIG-Grenoble, France. Thomas.Guyet@imag.fr |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms Artificial Intelligence* Biomedical Engineering / methods* Biomedical Research / methods Biometry / methods Computer Graphics Computer Simulation Database Management Systems* Databases, Factual* Humans Information Storage and Retrieval / methods* Models, Biological* Multivariate Analysis User-Computer Interface* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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