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

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Militia

Flowering Plants in the Rainforest,his paper describes how we combined user modelling and Petri nets in order to achieve an effective integration of media and to generate user-adapted multimedia explanations in a system supporting clinical guidelines consultation.

Nonflammable

The ,, its Avatars and the Ordinary,iers induced by machine learning systems. Experimental results show that the classification accuracy and the explanation capability of the naive Bayesian classifier with the fuzzy discretization of numerical attributes was superior to other methods and therefore the most appropriate for practical use in our application.

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0302-9743 e, 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 t

Culpable

,Ernst Nolte’s Theory of Fascism,severity of lymphedema and stage of tumor. The predictive accuracy over fifty runs employing test sets not used to build the model were 63.4%(Cart), 63.9%(C45), 62.5%(C45rules), 66.4%(FOCL) and 68.3%(Naive Bayes). An extension of the model using additional features and larger datasets is contemplated.

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Sex and Secularization in Nazi Germany,e methods prove to be useful in many cases, it was found that in some situations their applicability falls short. These situations and their associated problems are described. Techniques that have been developed to effectively deal with the problems are presented.

excrete

Knowledge discovery from a breast cancer database,severity of lymphedema and stage of tumor. The predictive accuracy over fifty runs employing test sets not used to build the model were 63.4%(Cart), 63.9%(C45), 62.5%(C45rules), 66.4%(FOCL) and 68.3%(Naive Bayes). An extension of the model using additional features and larger datasets is contemplated.

evasive

Developing a decision-theoretic network for a congenital heart disease,e methods prove to be useful in many cases, it was found that in some situations their applicability falls short. These situations and their associated problems are described. Techniques that have been developed to effectively deal with the problems are presented.