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

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

This publication 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 rigorously reviewed and chosen from seventy nine submissions. one of the themes addressed of their context on clinical info processing are wisdom administration, desktop studying, information mining, choice aid platforms, temporal reasoning, case-based reasoning, making plans and scheduling, traditional language processing, desktop imaginative and prescient, photograph and sign interpretation, clever brokers, telemedicine, careflow structures, and cognitive modeling.

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Extra resources 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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A PENICILLIN A PENICILLIN 0: PENICILLIN A PENICILLIN 1: AMPICILLIN, PIPERACILLIN A PENICILLIN 2: AUGMENTIN, (FLUCLOXACILLIN for Staph. aureus) A PENICILLIN 3: IMIPENEM A QUINOLONE A QUINOLONE 0: NALIDIXIC ACID A QUINOLONE 1: CIPROFLOXACIN A MACROLIDE A MACROLIDE 0: ERYTHROMYCIN A TETRACYCLINE A TETRACYCLINE 0: TETRACYCLINE A CEPHALOSPORIN A CEPHALOSPORIN 0: CEPHRADINE A CEPHALOSPORIN 1: CEFUROXIME A CEPHALOSPORIN 3: CEFTAZIDIME, CEFOTAXIME AN AMINOGLYCOSIDE AN AMINOGLYCOSIDE 0: NEOMYCIN AN AMINOGLYCOSIDE 1: GENTAMICIN AN AMINOGLYCOSIDE 2: TOBRAMYCIN A GLYCOPEPTIDE A GLYCOPEPTIDE 0: VANCOMYCIN A GLYCOPEPTIDE 1: TEICOPLANIN UNGROUPED UNGROUPED: FUSIDIC ACID, TRIMETHOPRIM, NITROFURANTOIN, COLISTIN, CHLORAMPHENICOL, METRONIDAZOLE, RIFAMPICIN, MUPIROCIN Within a meta-class (except for UNGROUPED), each class has an associated „level“, where the higher the level the more potent the corresponding antibiotics with respect to bacterial tolerance.

Knowledge based systems are seen to remedy this problem. Researchers recognize that already the design of knowledge based systems is fraught with difficulties. Human experts are often blamed for these difficulties, because of the untrustworthy nature of human self-reporting. Often better modeling approaches and spending more time on eliciting expert knowledge are seen as a solution to overcome these difficulties. But Musen and Van der Lei state that the real problem in eliciting expert knowledge lies in the fact that the experts have so little insight into their own expertise [2].

A. and J. van der Lei (1989). ” Methods Inf Med 28(1): 28-35. Suchman, L. A. (1987). Plans and situated actions, the problem of human machine communication. Cambridge, Cambridge University Press. Strauss, A. , S. Fagerhaugh, et al. (1997). Social organization of medical work. New Brunswick, Transaction Publishers. Berg, M. (1999). ” Int J Med Inf 55: 87-101. , M. Stefanelli, et al. (2001). ” Artif Intell Med 22(1): 65-80 Berg, M. (1997). Rationalizing medical work, decision support techniques and medical practices.

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