By Silvia Miksch, Jim Hunter, Elpida Keravnou

This ebook constitutes the refereed lawsuits of the tenth convention on synthetic Intelligence in drugs in Europe, AIME 2005, held in Aberdeen, united kingdom in July 2005.

The 35 revised complete papers and 34 revised brief papers provided including 2 invited contributions have been rigorously reviewed and chosen from 148 submissions. The papers are prepared in topical sections on temporal illustration and reasoning, choice aid platforms, scientific instructions and protocols, ontology and terminology, case-based reasoning, sign interpretation, visible mining, desktop imaginative and prescient and imaging, wisdom administration, desktop studying, wisdom discovery, and knowledge mining.

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Extra info for Artificial intelligence in medicine: 10th Conference on Artificial Intelligence in Medicine, AIME 2005, Aberdeen, UK, July 23-27, 2005; proceedings

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An important contribution to symbolic approach is given by fuzzy methodologies that can be regarded as a formalism particularly suitable to deal with the imprecision intrinsic to many medical problems and useful to build models for biological systems when a precise model doesn’t exist or it is difficult to realize [16]. The claim that fuzzy logic is a useful theoretical, methodological, and design tool for addressing some of the problems found in developing intelligent patientsupervision systems can be widely found in the literature concerning medical AI [9, 1].

Apply the PRECEDES operator between each ai and ci, where ai is such that ai∈A0{ci} and ai doesn’t refer to the same time series as ci. Put the results in the new set A1 and set the counter k to 1. In general A1 is formed by those rules that show a support greater then a fixed threshold; 4. Repeat: − Set k=k+1; − Generate the set Ak from Ak-1 such that each rule in Ak has cardinality k (conjunction of k TAs in the antecedent) and verifies the PRECEDES relationship. Even in this case, it is possible to state a restriction for Ak based on a threshold on the support; Until: Ak is empty; 5.

TDM has also been successfully used to S. Miksch et al. ): AIME 2005, LNAI 3581, pp. 23 – 32, 2005. © Springer-Verlag Berlin Heidelberg 2005 24 L. Sacchi et al. study gene expression time series of particular cell lines which are crucial for understanding key molecular processes of clinical interest, such as the insulin actions in muscles [9] and the cell cycle in normal and tumor cells [10]. Several works have been proposed also for what concerns the representation and processing of time series coming from the monitoring of clinical parameters, collected for example during an ICU staying [11,12].

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