Medical Data Analysis

First International Symposium, ISMDA 2000 Frankfurt, Germany, September 29-30, 2000 Proceedings

AvRüdiger W. Brause,Ernst Hanisch

Häftad, Engelska, 2000

Del i serien Lecture Notes in Computer Science

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Beskrivning

This book constitutes the refereed proceedings of the First International Symposium on Medical Data Analysis, ISMDA 2000, held in Frankfurt, Germany in September 2000. The 33 revised papers presented together with four keynote presentations were carefully reviewed and selected from 45 submissions. The book offers topical sections on time series analysis, Bayesian networks, neural network, machine learning, architectures for data acquisition and data analysis, medical informatics and modeling, genetic and fuzzy algorithms, and medical data mining.

Produktinformation

Utgivningsdatum:2000-09-13
Mått:155 x 235 x 19 mm
Vikt:505 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:320
Upplaga:2000
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783540410898

Utforska kategorier

Medicin: allmänt inom Medicin
Databaser inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

Keynote Lectures.- Medical Decision Support Systems.- Medical Bayes Networks.- Synchronization Analysis of Bivariate Time Series and Its Application to Medical Data.- A Survey of Data Mining Techniques.- Time Series Analysis.- Prognoses for Multiparametric Time Courses.- Estimation of the Time Delay of Epileptic Spikes by ICA.- Change-Point Detection in Kinetic Signals.- Hierarchical Clustering of Functional MRI Time-Series by Deterministic Annealing.- Classification of Electro-encephalographic Spatial Patterns.- Detection and Classification of Sleep-Disordered Breathing Using Acoustic Respiratory Input Impedance and Nasal Pressure.- Some Statistical Methods in Intensive Care Online Monitoring — A Review.- Entropy Measures in Heart Rate Variability Data.- Determinism and Nonlinearity of the Heart Rhythm.- Bayes Networks.- Feature Subset Selection Using Probabilistic Tree Structures. A Case Study in the Survival of Cirrhotic Patients Treated with TIPS.- Deconvolution and Credible Intervals using Markov Chain Monte Carlo Method.- Graphical Explanation in Bayesian Networks.- Neural Nets.- About the Analysis of Septic Shock Patient Data.- Data Mining and Knowledge Discovery in Medical Applications Using Self-Organizing Maps.- Analysis of Nonlinear Differential Equations: Parameter Estimation and Model Selection.- Machine Learning.- Medical Expert Evaluation of Machine Learning Results for a Coronary Heart Disease Database.- Combining Methodical Procedures from Knowledge Discovery in Databases and Individual-Oriented Simulation.- Incosistency Tests for Patient Records in a Coronary Heart Disease Database.- Architectures for Data Aquisition and Data Analysis.- A MATLAB-Based Software Tool for Changepoint Detection and Nonlinear Regression in Dose-Response Relationships.- AWeb-Based Electronic Patient Record System as a Means for Collection of Clinical Data.- The InterAction Database: Synergy of Science and Practice in Pharmacy.- Medical Informatics and Modeling.- A New Computerized Method to Verify and Disseminate Medical Appropriateness Criteria.- Pharmacokinetic & -dynamic Drug Information and Dosage Adjustment System Pharmdis.- Discrete Simulations of Cadaver Kidney Allocation Schemes.- Bootstrap and Cross-Validation to Assess Complexity of Data-Driven Regression Models.- Genetic and Fuzzy Algorithms.- Genetic Programming Optimisation of Nuclear Magnetic Resonance Pulse Shapes.- Application of a Genetic Programming Based Rule Discovery System to Recurring Miscarriage Data.- Detecting of Fatigue States of a Car Driver.- Operator Method of Fuzzification.- Medical Data Mining.- A System for Monitoring Nosocomial Infections.- A Data Mining Alternative to Model Hospital Operations: Filtering, Adaption and Behaviour Prediction.- Selection of Informative Genes in Gene Expression Based Diagnosis: A Nonparametric Approach.- Principal Component Analysis for Descriptive Epidemiology.