Please use this identifier to cite or link to this item:
Title: Artificial Intelligence in medicine AIME ’05
Authors: Miksch, Silvia 
Hunter, James 
Keravnou-Papailiou, Elpida 
Keywords: Artificial intelligence;Medicine;Evidence-based medicine;Linguistics;Medical literature;Semantics
Field: Natural Sciences
Issue Date: Feb-2006
Publisher: Elsevier
Source: Artificial intelligence in medicine, 2006, vol. 39, no. 2, pp. 97–98
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
ISSN: 0933-3657
DOI: 10.1016/j.artmed.2006.09.002
Collaboration : University of Cyprus
Rights: © Elsevier
Attribution-NonCommercial-NoDerivs 3.0 United States
Type: Article
Appears in Collections:Άρθρα/Articles

CORE Recommender
Show full item record

Page view(s)

Last Week
Last month
checked on May 23, 2020

Google ScholarTM



This item is licensed under a Creative Commons License Creative Commons