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Titlebook: Information Quality in e-Health; 7th Conference of th Andreas Holzinger,Klaus-Martin Simonic Conference proceedings 2011 Springer-Verlag Gm

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Challenges Storing and Representing Biomedical Dataring, communicating, representing and visualizing biomedical experimental data. We emphasize the need for proper human computer interaction paradigms and underlying data management architectures in order to achieve a correct interpretation of the experimental results.
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Semantic Analytics of PubMed Content institutions, as well as concepts extracted from various types of knowledge bases. The framework should be scalable with respect to data volumes, diversity of analytic processes, and the speed of search. In this paper, we investigate these requirements for the case of medical publications gathered in PubMed.
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0302-9743 routine, usability and accessibility methodologies, information usability and knowledge discovery, human-centred computing, and biomedical informatics in health professional education.978-3-642-25363-8978-3-642-25364-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Visualization of Patient Samples by Dimensionality Reduction of Genome-Wide Measurementsplied to reduce the dimensionality of the data. Colors of nodes in the network or hexagons are based on clinical outcome or tumor estrogen receptor (ER) status. Such visualization methods could be useful for grouping patients in an unsupervised manner to predict outcome and tailor personalized thera
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