Background Pharmacogenomic clinical decision support systems (CDSS) have the potential
to help overcome some of the barriers for translating pharmacogenomic knowledge into …

Although clinicians have long sought to integrate computer-aided diagnostic (CAD) systems
into routine clinical practice, it has proven to be extremely difficult to perform fully automated …

Abstract Recently, Semantic Wikis showed reasonable success as collaboration platforms in
the context of social semantic applications. In this paper, we present a novel approach, that …

A brain anomaly localization algorithm in an unsupervised machine learning (ML)
framework is presented for electromagnetic brain imaging. The method is based on …

In general, knowledge-intensive data mining methods exploit background knowledge to
improve the quality of their results. Then, in knowledge-rich domains often the …

Visual mining methods enable the direct integration of the user to overcome major problems
of automatic data mining methods, eg, the presentation of uninteresting results, lack of …

Ontologies are widely used for capturing and organizing knowledge of a particular domain
of interest. This knowledge is usually evolvable and therefore an ontology maintenance …

Subgroup discovery can be applied for exploration or descriptive induction in order to
discover” interesting” subgroups of the general population, given a certain property of …

Data mining has proved its significance in various domains and applications. As an
important subfield of the general data mining task, subgroup mining can be used, eg, for …

This paper presents the knowledge-system SONOCONSULT–an intelligent system in the
medical domain. We evaluated the accuracy, acceptance and impact of SONOCONSULT …