By Enrico Coiera (auth.), Silvana Quaglini, Pedro Barahona, Steen Andreassen (eds.)
This booklet constitutes the refereed complaints 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 offered including 30 posters and invited papers have been rigorously reviewed and chosen from seventy nine submissions. one of the issues addressed of their context on clinical info processing are wisdom administration, computer studying, info mining, selection aid platforms, temporal reasoning, case-based reasoning, making plans and scheduling, ordinary language processing, machine imaginative and prescient, photo and sign interpretation, clever brokers, telemedicine, careflow structures, and cognitive modeling.
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Additional resources for Artificial Intelligence in Medicine: 8th Conference on Artificial Intelligence in Medicine in Europe, AIME 2001 Cascais, Portugal, July 1–4, 2001, Proceedings
Springer-Verlag Berlin Heidelberg 2001 On Articulation and Localization – Some Sociotechnical Issues 17 Peer reviewed medical knowledge and the minds of the best practitioners have been captured in knowledge based systems and is made available to a wider group of users. Thus, it is hoped, variance in medical practice can be reduced. The knowledge base of medicine is increasing exponentially and no single human can even start to cope with it. Knowledge based systems can in principle encompass huge amounts of information and are therefore seen as means to relieve the information burden of the single practitioner.
5. 6. 7. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. E. Coiera, When Communication is better than Computation. Journal American Medical Informatics Association. 7, 277-286, 2000. P. ), The Communication Theory Reader, Routledge, London, (1996). H. Clarke, Using Language, Cambridge University Press, Cambridge, (1996). J. C. A. van der Lubbe, Information Theory, Cambridge University Press, (1997). S. J. Russell, P. Norvig, Artificial Intelligence - a modern approach, Prentice Hall, Upper Saddle River, (1995).
When the classification models are presented to the medical staff, they noted a large improvement in aplicability among the models induced with the aid of 28 B. Sierra et al. Table 3. 5 ? 03 FSS techniques and those that are constructed without FSS. 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.