Medical Data Analysis

1. Front Matter

   Pages I-XI

   PDF

2. Keynote Lectures

   1. Medical Decision Support Systems

      • T. Wetter

      Pages 1-3

   2. Medical Bayes Networks

      • Basilio Sierra, Iñaki Inza, Pedro Larrañaga

      Pages 4-14

   3. Synchronization Analysis of Bivariate Time Series and Its Application to Medical Data

      • M. Rosenblum

      Pages 15-16

   4. A Survey of Data Mining Techniques

      • Victor Maojo, José Sanandrés

      Pages 17-22

3. Time Series Analysis

   1. Prognoses for Multiparametric Time Courses

      • Rainer Schmidt, Lothar Gierl

      Pages 23-33

   2. Estimation of the Time Delay of Epileptic Spikes by ICA

      • Aleš Černošek, Vladimir Krajča, Jitka Mohylová, Svojmil Petránek, Miloš Matoušek, Karel Paul

      Pages 34-42

   3. Change-Point Detection in Kinetic Signals

      • Gerhard Staude, Werner Wolf

      Pages 43-48

   4. Hierarchical Clustering of Functional MRI Time-Series by Deterministic Annealing

      • Axel Wismüller, Dominik R. Dersch, Bernadette Lipinski, Klaus Hahn, Dorothee Auer

      Pages 49-54

   5. Classification of Electro-encephalographic Spatial Patterns

      • T. Müller, T. Ball, R. Kristeva-Feige, Th. Mergner, J. Timmer

      Pages 55-60

   6. Detection and Classification of Sleep-Disordered Breathing Using Acoustic Respiratory Input Impedance and Nasal Pressure

      • Holger Steltner, Richard Staats, Michael Vogel, Christian Virchow, Heinrich Matthys, Josef Guttmann et al.

      Pages 61-66

   7. Some Statistical Methods in Intensive Care Online Monitoring — A Review

      • Roland Fried, Ursula Gather, Michael Imhoff, Marcus Bauer

      Pages 67-77

   8. Entropy Measures in Heart Rate Variability Data

      • Niels Wessel, Agnes Schumann, Alexander Schirdewan, Andreas Voss, Jürgen Kurths

      Pages 78-87

   9. Determinism and Nonlinearity of the Heart Rhythm

      • Laura Cimponeriu, Anastassios Bezerianos

      Pages 88-96

4. Bayes Networks

   1. Feature Subset Selection Using Probabilistic Tree Structures. A Case Study in the Survival of Cirrhotic Patients Treated with TIPS

      • Iñaki Inza, Marisa Merino, Pedro Larranaga, Jorge Quiroga, Basilio Sierra, Marcos Girala

      Pages 97-110

   2. Deconvolution and Credible Intervals using Markov Chain Monte Carlo Method

      • Roman Hovorka

      Pages 111-121

   3. Graphical Explanation in Bayesian Networks

      • Carmen Lacave, Roberto Atienza, Francisco J. Diez

      Pages 122-129

5. Neural Nets

   1. About the Analysis of Septic Shock Patient Data

      • Jürgen Paetz, Fred Hamker, Sven Thöne

      Pages 130-137

   2. Data Mining and Knowledge Discovery in Medical Applications Using Self-Organizing Maps

      • Thomas Villmann, Wieland Hermann, Michael Geyer

      Pages 138-151

   3. Analysis of Nonlinear Differential Equations: Parameter Estimation and Model Selection

      • Werner Horbelt, Thorsten Müller, Jens Timmer, Werner Melzer, Karl Winkler

      Pages 152-159

It is a pleasure for us to present the contributions of the First International Symposium on Medical Data Analysis. Traditionally, the eld of medical data analysis can be devided into classical topics such as medical statistics, sur- val analysis, biometrics and medical informatics. Recently, however, time series analysis by physicists, machine learning and data mining with methods such as neural networks, Bayes networks or fuzzy computing by computer scientists have contributed important ideas to the led of medical data analysis. Although all these groups have similar intentions, there was nearly no exchange or discussion between them. With the growing possibilities for storing and ana- zing patient data, even in smaller health care institutions, the need for a rational treatment of all these data emerged as well. Therefore, the need for data exchange and presentation systems grew also. The goal of the symposium is to collect all these relevant aspects together. It provides an international forum for the sharing and exchange of original re- arch results, ideas and practical experiences among researchers and application developers from di erent areas related to medical applications dealing with the analysis of medical data. After a thorough reviewing process, 33 high quality papers were selected from the 45 international submissions. These contributions provided the di erent - pects of the eld in order to represent us with an exciting program.

• Analysis
• Bayesian network
• algorithms
• data analysis
• data mining
• fuzzy
• learning
• machine learning
• medical informatics
• modeling
• neural network

• Fachbereich Biologie und Informatik AG Adaptive Systemarchitektur, Johann Wolfgang Goethe-Universität, Frankfurt a.M., Germany

  Rüdiger W. Brause

• Klinik für Allgemein- und Gefässchirurgie, Johann Wolfgang Goethe-Universität, Frankfurt a.M., Germany

  Ernst Hanisch

Policies and ethics