Document Detail


Knowledge construction from time series data using a collaborative exploration system.
MedLine Citation:
PMID:  17988953     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Thomas Guyet; Catherine Garbay; Michel Dojat
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2007-10-09
Journal Detail:
Title:  Journal of biomedical informatics     Volume:  40     ISSN:  1532-0480     ISO Abbreviation:  J Biomed Inform     Publication Date:  2007 Dec 
Date Detail:
Created Date:  2007-11-20     Completed Date:  2008-01-04     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  100970413     Medline TA:  J Biomed Inform     Country:  United States    
Other Details:
Languages:  eng     Pagination:  672-87     Citation Subset:  IM    
Affiliation:
CNRS-TIMC/LIG-Grenoble, France. Thomas.Guyet@imag.fr
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MeSH Terms
Descriptor/Qualifier:
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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