By Enrico Coiera (auth.), Silvana Quaglini, Pedro Barahona, Steen Andreassen (eds.)
ISBN-10: 3540422943
ISBN-13: 9783540422945
ISBN-10: 3540482296
ISBN-13: 9783540482291
This publication constitutes the refereed court cases of the eighth convention on synthetic Intelligence in drugs in Europe, AIME 2001, held in Cascais, Portugal in July 2001. The 31 revised complete papers offered including 30 posters and invited papers have been conscientiously reviewed and chosen from seventy nine submissions. one of the themes addressed of their context on scientific info processing are wisdom administration, laptop studying, information mining, determination aid structures, temporal reasoning, case-based reasoning, making plans and scheduling, common language processing, desktop imaginative and prescient, picture and sign interpretation, clever brokers, telemedicine, careflow structures, and cognitive modeling.
Read Online or Download Artificial Intelligence in Medicine: 8th Conference on Artificial Intelligence in Medicine in Europe, AIME 2001 Cascais, Portugal, July 1–4, 2001, Proceedings PDF
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Extra info for Artificial Intelligence in Medicine: 8th Conference on Artificial Intelligence in Medicine in Europe, AIME 2001 Cascais, Portugal, July 1–4, 2001, Proceedings
Sample text
Goldberg, F. Lobo, A Survey of Optimization by Building and Using Probabilistic Model, IlliGAL Report 99018, Urbana: University of Illinois at Urbana-Champaign, Illinois Genetic Algorithms Laboratory, 1999. 16. R. 5: Programs for Machine Learning”, Morgan Kaufmann Publishers, Inc. Los Altos, California 17. M. R´ ossle, V. Siegerstetter, M. Huber and A. Ochs, The first decade of the transjugular intrahepatic portosystemic shunt (TIPS): state of the art, Liver 18 (1998) 73-89. 18. B. Sierra, N. Serrano, P.
The sample data represents only one instance of the bacterium. The data contains no knowledge about how long the bacterium was present in the hospital environment before the data was obtained, or how long it remains in the hospital environment after it has been detected. Hence, the recorded data does not strictly provide an accurate representation of the actual frequencies of bacteria in the hospital environment. However, because each case has an associated date, the cases can be „trended“ over time.
If they do, the entries of their ORG_ASP patterns are compared in a pairwise fashion. Comparisons involving an I result or an empty entry in either pattern are ignored. , S-R or R-S) are used to compute the following similarity coefficient. 67. A user-defined threshold can then be used to determine whether two organisms may be considered the same. 6, the two ECOLIs above are deemed to be indistinguishable. Armed with SimCoef (and an associated threshold), it is possible to cluster antibiograms.
Artificial Intelligence in Medicine: 8th Conference on Artificial Intelligence in Medicine in Europe, AIME 2001 Cascais, Portugal, July 1–4, 2001, Proceedings by Enrico Coiera (auth.), Silvana Quaglini, Pedro Barahona, Steen Andreassen (eds.)
by Christopher
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