Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/1738
Title: Artificial Intelligence in medicine AIME ’05
Authors: Miksch, Silvia 
Hunter, James 
Keravnou-Papailiou, Elpida 
Major Field of Science: Natural Sciences
Keywords: Artificial intelligence;Medicine;Evidence-based medicine;Linguistics;Medical literature;Semantics
Issue Date: Feb-2006
Source: Artificial intelligence in medicine, 2006, vol. 39, no. 2, pp. 97–98
Volume: 39
Issue: 2
Start page: 97
End page: 98
Journal: Artificial intelligence in medicine 
Abstract: The 10th Conference on Artificial Intelligence in Medicine (AIME '05), held in Aberdeen, Scotland, on 23 27 July 2005, presents papers on the international state of art of artificial intelligence (AI) in medicine (AIM) from both a research and an application perspective. The themes on which papers and the sessions were organized include temporal representation and reasoning, decision support systems, ontology and terminology, case-based reasoning, signal interpretation, visual mining, computer vision and imaging, and knowledge management. The papers deal with the fields of natural language processing, linguistic analysis, and information extraction, and also with guideline based care and how these methods can be utilized to support different tasks in this area. The papers also propose a multi-step approach using information extraction methods to support the human modeler by both automating parts of the modeling process and making the modeling process traceable and comprehensible
URI: https://hdl.handle.net/20.500.14279/1738
ISSN: 09333657
DOI: 10.1016/j.artmed.2006.09.002
Rights: © Elsevier
Type: Article
Affiliation: University of Cyprus 
Affiliation : University of Cyprus 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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