Artificial Intelligence in Medicine: 8th Conference on by Enrico Coiera (auth.), Silvana Quaglini, Pedro Barahona,

By Enrico Coiera (auth.), Silvana Quaglini, Pedro Barahona, Steen Andreassen (eds.)

This e-book constitutes the refereed court cases of the eighth convention on man made Intelligence in drugs in Europe, AIME 2001, held in Cascais, Portugal in July 2001. The 31 revised complete papers awarded 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, desktop studying, info mining, choice help structures, temporal reasoning, case-based reasoning, making plans and scheduling, traditional language processing, desktop imaginative and prescient, picture and sign interpretation, clever brokers, telemedicine, careflow structures, and cognitive modeling.

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By Enrico Coiera (auth.), Silvana Quaglini, Pedro Barahona, Steen Andreassen (eds.)

This e-book constitutes the refereed court cases of the eighth convention on man made Intelligence in drugs in Europe, AIME 2001, held in Cascais, Portugal in July 2001. The 31 revised complete papers awarded 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, desktop studying, info mining, choice help structures, temporal reasoning, case-based reasoning, making plans and scheduling, traditional language processing, desktop imaginative and prescient, picture and sign interpretation, clever brokers, telemedicine, careflow structures, and cognitive modeling.

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Read 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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Additional info for Artificial Intelligence in Medicine: 8th Conference on Artificial Intelligence in Medicine in Europe, AIME 2001 Cascais, Portugal, July 1–4, 2001, Proceedings

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Peine, J. J. ter Borg, A model to Predict Poor Survival in Patients Undergoing Transjugular Intrahepatic Portosystemic Shunts, Hepatology 31 (2000) 864-871. 13. T. Mitchell (1997): Machine Learning. McGraw-Hill. 14. H. M¨ uehlenbein and G. Paaß, From recombination of genes to the estimation of distributions. Binary parameters, in: Lecture Notes in Computer Science 1411: Parallel Problem Solving from Nature – PPSN IV (1996) 178-187. 15. M. E. 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.

Thus, by this dimensionality reduction, the confidence and acceptance in the models of our medical staff is increased. With the reduction in the number of needed measurements, an obvious reduction of the derived economic costs is achieved. 8 Summary and Future Work A medical problem, the prediction of the survival of cirrhotic patients treated with TIPS, has been focused from a machine learning perspective, with the aim of obtaining a classification method for the indication or contraindication of TIPS in cirrhotic patients.

1995). C R. , Communication Monographs, 58, 101-113, (1991). B. , (1996). L. Suchman, Plans and situated actions - the problem of human-machine communication, Cambridge University Press, Cambridge, (1987). R Brooks, Intelligence without representation, Artificial Intelligence, 47,139-159, (1991). P. F. Lazarsfeld, R. K. Merton, Friendship as Social process: a substantive and methodological analysis, in M. Berger et al. ), Freedom and Control in Modern Society, New York, Octagon (1964). E. M.

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