By Gianpaolo Molino (auth.), Werner Horn, Yuval Shahar, Greger Lindberg, Steen Andreassen, Jeremy Wyatt (eds.)
This e-book constitutes the refereed lawsuits of the Joint ecu convention on man made Intelligence in medication and scientific selection Making, AIMDM'99, held in Aalborg, Denmark, in June 1999.
The 27 complete papers and 19 brief papers provided within the booklet including 4 invited papers have been chosen from ninety submissions. The papers are geared up in topical sections on guidance and protocols; determination aid structures, knowledge-based platforms, and cooperative platforms; model-based structures; neural nets and causal probabilistic networks; wisdom illustration; temporal reasoning; desktop studying; normal language processing; and photo processing and machine aided layout.
Read or Download Artificial Intelligence in Medicine: Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM'99 Aalborg, Denmark, June 20–24, 1999 Proceedings PDF
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Additional resources for Artificial Intelligence in Medicine: Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM'99 Aalborg, Denmark, June 20–24, 1999 Proceedings
In general, protocols represent the final stage of adopting a centrally developed guideline to best practice for local use . Yet systematic reviews have shown that the mere existence of these guidelines or protocols does not necessarily lead to changes in practice . Certainly, if clinicians are unaware of best practice, they cannot implement them; and if they haven’t been convinced of their utility, they will not use them. These are goals to be pursued by the medical community. However, there are goals for the AIM community: to increase the power of formal representations of practice guideline taking into account complexity, flexibility and uncertainty management needs and to make them online available to the right person at the right time during her daily work .
Argyris and Schon  suggested that the idea of organizational action is logically prior to that of organizational learning: learning itself is a kind of action and the performance of an observable action new to an organization is the most decisive test of whether a particular instance of organizational learning has occurred. Organizations are systems in which individuals cooperate to perform tasks that arise repetitively. Every cooperative system embodies a strategy for dividing up, according to one principle or another, the tasks it regularly performs and delegating the components to individual members, thereby establishing individual roles.
Springer-Verlag Berlin Heidelberg 1999 Timing Is Everything 31 medical records, and for reasoning about time-oriented clinical data as part of various decision-support applications, such as diagnosis, therapy, and browsing of electronic patient records for management or research purposes. Representing, querying, and reasoning about time-oriented clinical data is equally important for care providers who need certain information about one or more patient records as it is for automated decision support systems.
Artificial Intelligence in Medicine: Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM'99 Aalborg, Denmark, June 20–24, 1999 Proceedings by Gianpaolo Molino (auth.), Werner Horn, Yuval Shahar, Greger Lindberg, Steen Andreassen, Jeremy Wyatt (eds.)