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

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Medical Decision Support Systemsto identify underlying assumptions of different approaches and how they relate to present developments in health care. Among these developments the intension to base decisions on as much information as possible and to improve quality of care are most closely related to the targets of DSS.

Certainty

interpose

輕浮女

FLASK

Graphical Explanation in Bayesian Networkserface that constitutes one of the explanation capabilities of Elvira, a software tool for the edition and evaluation of graphical probabilistic models. The method we describe consists in working with different evidence cases and simultaneously displaying the corresponding probabilities.

休戰(zhàn)

About the Analysis of Septic Shock Patient Datat data. We chose an architecture mainly based on a supervised neural network. The patient data is classified into two classes (survived and deceased). The importance of this classification for an early warning system is discussed.

bioavailability

jettison

Detection and Classification of Sleep-Disordered Breathing Using Acoustic Respiratory Input Impedanco concordantly classified. After further optimization and evaluation, this approach might be useful when implemented into a device designed to screening or treatment control of sleep-related breathing disorders at home.

時(shí)間等

Determinism and Nonlinearity of the Heart Rhythmstudy, we analyze the nonlinear predictability of the RR interval time series in two different states of neural regulation: normal function and pharmacological blockade, by means of atropine and propanolol.

者變

Feature Subset Selection Using Probabilistic Tree Structures. A Case Study in the Survival of Cirrhoed the predictive accuracy of these classifiers and considerably reduced the amount of attributes in the classification models. Among FSS techniques, FSS-TREE, a new randomized algorithm inspired on the EDA (Estimation of Distribution Algorithm) paradigm, has obtained the best accuracy results.