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

exacerbate

MIME

GLEAN

Prognoses for Multiparametric Time Coursesdescriptions of the renal function over the course of time. Using Case-Based Reasoning retrieval methods, we search in the case base for courses similar to the, current trend descriptions. We present a current course together with similar courses as comparisons and as possible prognoses to the user.

concentrate

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expository

Entropy Measures in Heart Rate Variability Data study shows that the entropy measures discussed here are useful tools to estimate the individual risk of patients suffering from heart failure. Further, the results demonstrate that the combination of different heart rate variability parameters leads to a better classification of cardiac diseases than single parameters.

Antecedent

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Analysis of Nonlinear Differential Equations: Parameter Estimation and Model Selectionared with respect to their adequacy by means of likelihood ratio tests. We demonstrate the advantages of the algorithm with simulated data and present applications from calcium dynamics in skeletal muscle cells and the human lipoprotein metabolism.

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Hay-Fever

Medical Bayes Networksdge about it, although some notions of probability must be taken into account. Bayesian networks are used as inference tools in probabilistic expert systems, being its utilization extended to many research and application fields. Some examples in the medical world are presented, as well as the way t