Download Artificial Intelligence in Medicine: 9th Conference on by Sylvie Charbonnier (auth.), Michel Dojat, Elpida T. PDF

By Sylvie Charbonnier (auth.), Michel Dojat, Elpida T. Keravnou, Pedro Barahona (eds.)

This e-book constitutes the refereed complaints of the ninth convention on man made Intelligence in drugs 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 geared up in topical sections on temporal reasoning, ontology and terminology, snapshot processing and simulation, directions and scientific protocols, terminology and ordinary language concerns, computer studying, probabilistic networks and Bayesian versions, case-based reasoning and determination aid, and knowledge mining and data discovery.

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Extra info for Artificial Intelligence in Medicine: 9th Conference on Artificial Intelligence, in Medicine in Europe, AIME 2003, Protaras, Cyprus, October 18-22, 2003. Proceedings

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E. Kahn and N. de la Cruz. Extensible Markup Language (XML) in health care: integration of structured reporting and decision support. In Proceedings of the AMIA Annual Fall Symposium, pages 725–729, 1998. 7. B. Oliboni, E. Quintarelli, and L. Tanca.

Towards a general theory of action and time. Artificial Intelligence 23 (1984) 123-154. 13. : Bioorthogonal basis of compactly supported wavelets. Comm. Pure Aplli. Math. (1992) 45 485-560. 14. : Discovery of Temporal Patterns - Learning Rules about the Qualitative Behaviour of Time Series. Proc. of the 5th PPKDD, LNAI 2168 (2001) 192-203. 15. : Data Mining, Academic Press, 2000. 16. : Expert-guided subgroup discovery: Methodology and Application. J Artif Intell Res. 17 (2002) 501-527. 17. Gamberger, D.

MTGM allows us to compose a multimedia presentation starting from the nodes stored in an MTGM database. In this context we suppose that a physicians is interested to the composition of videos and other clinical information about some patients. We suppose to define, for the given patient, a multimedia presentation consisting of three parts. In the first part the name of the patient is shown simultaneously with the textual description of the clinical situation of the patient. The second part shows the complete natural-language description of the symptom for the patient.

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