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Titlebook: Medical Data Analysis; First International Rüdiger W. Brause,Ernst Hanisch Conference proceedings 2000 Springer-Verlag Berlin Heidelberg 2

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A Survey of Data Mining Techniques summary of the main concepts associated to data mining and some of the methods and tools used in the scientific world, mainly those that can associated to medical applications. Finally, some practical projects and conclusions are presented.
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Hierarchical Clustering of Functional MRI Time-Series by Deterministic Annealingnces of the human brain by self-organized fuzzy minimal free energy vector quantization (VQ). In contrast to conventional model-based fMRI data analysis techniques, this deterministic annealing procedure does not imply presumptive knowledge of expected stimulus-response patterns, and, thus, may be a
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Classification of Electro-encephalographic Spatial Patternsr classification. To classify planning of movement of right and left index finger, three diferent approaches were compared: classification using a physiologically motivated set of four electrodes, a set determined by principal component analysis and electrodes determined by spatial pattern analysis.
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Detection and Classification of Sleep-Disordered Breathing Using Acoustic Respiratory Input Impedancssure and acoustic respiratory input impedance measured by forced oscillation technique at a frequency of 20 Hz throughout the night. A first version of the algorithm was applied to a data set consisting of full-night measurements on 5 subjects. The data set had a total duration of 34 hours and cont
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Some Statistical Methods in Intensive Care Online Monitoring — A Reviewles online in short time intervals. To identify complications as well as therapeutic effects procedures for rapid classification of the current state of the patient have to be developed. Detection of characteristic patterns in the data can be accomplished by statistical time series analysis. In view
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Entropy Measures in Heart Rate Variability Dataf dimensionality. An approach which might be capable of assessing complex properties is the calculation of entropy measures from normalised periodograms. Two concepts, both based on autoregressive spectral estimations are introduced here. To test the hypothesis that these entropy measures may improv
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