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Titlebook: Artificial Intelligence in Medicine; 6th Conference in Ar Elpida Keravnou,Catherine Garbay,Jeremy Wyatt Conference proceedings 1997 Springe

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期刊全稱Artificial Intelligence in Medicine
期刊簡稱6th Conference in Ar
影響因子2023Elpida Keravnou,Catherine Garbay,Jeremy Wyatt
視頻videohttp://file.papertrans.cn/163/162486/162486.mp4
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Artificial Intelligence in Medicine; 6th Conference in Ar Elpida Keravnou,Catherine Garbay,Jeremy Wyatt Conference proceedings 1997 Springe
影響因子This book constitutes the refereed proceedings of the 6th Conference on Artificial Intelligence in Medicine Europe, AIME‘97, held in Grenoble, France, in March 1997..The volume presents 33 revised full papers selected from a total of 82 submissions; also included are three invited presentations and 25 posters. The papers are organized in topical sections on protocols and guidelines, knowledge acquisition and learning, decision-support theories, diagnostic problem solving, probabilistic models and fuzzy logic, temporal reasoning and planning, natural language and terminology, image and signal processing, and hybrid and cooperative systems.
Pindex Conference proceedings 1997
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Detecting very early stages of dementia from normal aging with Machine Learning methods,family occasions, holidays, or taking medications?”) was the only attribute included in all rule sets. CART‘s tree simplification procedure always found that just the forgetting rule gave the best pruned decision tree rule set with classification accuracy (93% sensitivity and 80% specificity) as hig
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Evaluation of automatic and manual knowledge acquisition for cerebrospinal fluid (CSF) diagnosis,ters in most cases indicated that the extracted rules correspond well to knowledge expressed by a medical expert. The results presented here confirm that a part of our automatic knowledge acquisition procedure, that is conversion of knowledge from subsymbolic representation to a rule based represent
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Geistesgeschichtliche Faschismusdiagnosen,ates the potential for use in clinics, as well as for taking a position on the software market..The author and his team would like to emphasise a clear message to researchers: that the main progress of AI techniques in the future will come from field experiments; that only in such a context will the
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Intelligent image management in an integrated telemedicine services network,
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