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AIME 91: Proceedings of the Third Conference on Artificial by P. Suetens, R. Verbeeck, D. Delaere, J. Nuyts, B. Bijnens

By P. Suetens, R. Verbeeck, D. Delaere, J. Nuyts, B. Bijnens (auth.), Mario Stefanelli, Arie Hasman, Marius Fieschi, Jan Talmon (eds.)

This booklet includes 26 papers describing learn within the do- major of man-made Intelligence in medication. The papers are grouped round the following subject matters: technique, wisdom illustration, scientific purposes, modelling, doubtful- ty administration, wisdom acquisition, and the consumer perspec- tive. The ebook supplies an outline of the present kingdom of AI in medication learn in Europe. It provides numerous techni- ques and techniques which are more likely to play an immense position in destiny purposes. within the part on scientific applica- tions not just current structures are defined, yet result of overview reports are awarded as well.

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Additional info for AIME 91: Proceedings of the Third Conference on Artificial Intelligence in Medicine, Maastricht, June 24–27, 1991

Sample text

The first step is to find an answer to the question, whether the application of biomedical knowledge in clinical reasoning decrease with increasing levels of expertise, as is predicted by Patel and colleagues and by Schmidt and colleagues. Should this question be answered with 'yes', as is expected, then the next question is whether this decrease in the application of biomedical knowledge is associated with a decrease in the availability of this kind of knowledge in long term memory. Research outcomes found by the same groups of authors, suggest that this will not be the case.

Chicago,IL. 5. , & Kassirer, J. P. (1984). Causal reasoning in medicine; Analysis of a protocol. Cognitive Science, 8, 363-385. 6. Lesgold, A. M. (1984). Acquiring expertise. In J. R. Anderson, & S. M. ), Tutorials in learning and memory; essays in honor of Gordon Bower. San Francisco: Freeman & Compo 7. , Feltovich, P. , & Wang, Y. (1988). Expertise in a complex skill: diagnosing X-ray pictures. In M. T. H. Chi, R. Glaser, & M. ), The nature ofexpenise. Hillsdale, NJ: Erlbaum. 8. Patel, V. , Evans, D.

Schmidt, et al. 1988). These authors suggest that medical experts predominantly use clinical knowledge instead of biomedical knowledge to represent and diagnose a patient problem. According to these investigators, the application of biomedical knowledge is in particular characteristic for non-expert reasoning. More generally stated: the application of biomedical knowledge is associated with non-automatic problem solving and will be found in the diagnosis of non-routine cases. But, as Boshuizen, et al.

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