Artificial Intelligence in Medicine: 8th Conference on - download pdf or read online

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

ISBN-10: 3540422943

ISBN-13: 9783540422945

ISBN-10: 3540482296

ISBN-13: 9783540482291

This booklet constitutes the refereed lawsuits of the eighth convention on synthetic Intelligence in medication 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 issues addressed of their context on clinical details processing are wisdom administration, desktop studying, info mining, selection help structures, temporal reasoning, case-based reasoning, making plans and scheduling, ordinary language processing, desktop imaginative and prescient, snapshot and sign interpretation, clever brokers, telemedicine, careflow platforms, and cognitive modeling.

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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

Example text

Section 5 presents the Estimation of Distribution Algorithm, a new evolutionary computation paradigm. In section 6 the new approach used in this work is described, and experimental results are presented in section 7. Finally, the last section briefly summarizes the work and presents lines of future research in the field. 2 Patients. Study Database The analysis includes 107 patients. The follow-up of these transplanted patients was censored on the day of the transplant. This censoring was done to remove the effect of transplantation when modeling the six-months survival of patients who 22 B.

Thomas. Cambridge, Cambridge University Press: 67-106. Prototype Selection and Feature Subset Selection by Estimation of Distribution Algorithms. A Case Study in the Survival of Cirrhotic Patients Treated with TIPS naga1 , and J. Quiroga3 B. Sierra1 , E. Lazkano1 , I. Inza1 , M. Merino2 , P. Larra˜ 1 Dept. O. es/isg 2 Basque Health Service - Osakidetza, Comarca Gipuzkoa - Este, Avenida Navarra 14, E-20013 Donostia - San Sebasti´ an, Spain 3 Facultad de Medicina, University Clinic of Navarra, E-31080 Pamplona - Iru˜ na, Spain Abstract.

Once the objective is fixed, FSS can be viewed as a search problem, with each state in the search space specifying a subset of the possible features of the task. Exhaustive evaluation of possible feature subsets is usually infeasible in practice because of the large amount of computational effort required. Many search techniques have been proposed to solve FSS problem when there is no knowledge about the nature of the task, carrying out an intelligent search in the space of possible solutions. 5 Estimation of Distribution Algorithms Genetic Algorithms (GAs, see Holland [7]) are one of the best known techniques for solving optimization problems.

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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.)


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