However, for experts in the area of prosody it is not always easy to link their work to the developments in the domain of dialogue modelling, whereas researchers working in the area of dialogue modelling often are rather naive with respect to prosodic modelling. The goal of the workshop is bringing together researchers from both domains to provide either group with a better view of developments in the other domain and in this way stimulate progress. The format of the workshop will consist of keynote presentations by experts in the field of dialogue and prosody modelling, combined with oral and poster presentations of accepted papers. All presentations will be plenary. In order to maximize the possibilities for fruitful discussion, the number of participants will be limited to about a hundred.
Prognosis forms an integral part of systems for treatment selection and treatment planning.
In evaluating quality of care, prognostic models are used for predicting outcome, such as mortality, which is compared with the actual measured outcome. Furthermore, prognostic models may play an important role in guiding diagnostic problem solving, e.g. by only requesting information concerning tests, of which the outcome affects knowledge of the prognosis. Examples of such domain models are causal disease models, and physiological models of regulatory mechanisms in the human body. Various methods have been suggested for the representations of such domain models ranging from quantitative and probabilistic approaches to symbolic and qualitative ones. Semantic concepts such as time, e.g. for modelling the progressive changes of regulatory mechanisms, have formed an important and challenging modelling issue.