By Sylvie Charbonnier (auth.), Michel Dojat, Elpida T. Keravnou, Pedro Barahona (eds.)
This publication constitutes the refereed complaints of the ninth convention on man made Intelligence in medication in Europe, AIME 2003, held in Protaras, Cyprus, in October 2003.
The 24 revised complete papers and 26 revised brief papers awarded including invited contributions have been rigorously reviewed and chosen from sixty five submissions. The papers are equipped in topical sections on temporal reasoning, ontology and terminology, snapshot processing and simulation, instructions and medical protocols, terminology and traditional language concerns, computer studying, probabilistic networks and Bayesian versions, case-based reasoning and choice aid, and information mining and data discovery.
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Additional info for Artificial Intelligence in Medicine: 9th Conference on Artificial Intelligence, in Medicine in Europe, AIME 2003, Protaras, Cyprus, October 18-22, 2003. Proceedings
We thank Samson Tu and Martin O’connor for useful discussions regarding the Chronus-II and RASTA systems, and Drs. Mary Goldstein, Susana Martins, Lawrence Basso, Herbert Kaizer, Aneel Advani, and Eitan Lunenfeld, for assessing the Idan and KNAVE-II systems. References 1. Nguyen J. H, Shahar Y, Tu S. , Das A. , and Musen M. A. (1999). Integration of Temporal Reasoning and Temporal-Data Maintenance Into A Reusable Database Mediator to Answer Abstract, Time-Oriented Queries: The Tzolkin System. Journal of Intelligent Information Systems 13(1/2):121-145.
2000) Model-Based Visualization of Temporal Abstractions. Computational Intelligence 16(2):279-306. 11. , and Galperin M. (2003) DEGEL: A Hybrid, multiple-ontology framework for specification and retrieval of clinical guidelines. Proceedings the Ninth Conference on Artificial Intelligence in Medicine Europe (AIME-03), Protaras, Cyprus. 12. Chittaro L and Combi C. (2001). Representation of Temporal Intervals and Relations: Information Visualization Aspects and their Evaluation. C. Bettini and A.
Motivations are provided, taken from the domain of cardiac angiography. 1 Introduction During the last years, the amount of multimedia clinical data available electronically has been growing up . Data resides in diﬀerent form and this information is accessible through diﬀerent interfaces like Web browsers, database query languages, application-speciﬁc interfaces or data exchange formats. This information can be raw, like images or sounds, or structured even though the structure can be implicit.
Artificial Intelligence in Medicine: 9th Conference on Artificial Intelligence, in Medicine in Europe, AIME 2003, Protaras, Cyprus, October 18-22, 2003. Proceedings by Sylvie Charbonnier (auth.), Michel Dojat, Elpida T. Keravnou, Pedro Barahona (eds.)