1st International Summer School on Biomedical and Health Informatics

1) BioMedical Imaging

Kenneth Revett, Professor, Harrow School of Computer Science, University of Westminster, UK.

-Medical imaging techniques :

• Brain tissue classification (CSF, WM, GM)
• Feature extraction and classification using rough sets

-EEG/ECG data analysis OR HMM in biomedical imaging:

• Event related potential identification and detection using a variety of ML techniques
• HMM as a model for predicting subsequent signal intensities

2) Computational Intelligence

Urszula Markowska – Kaczmar, Professor, Institute of Informatics, Wroclaw University of Technology, Wroclaw, Poland

-Supervised learning :

• BP neural network and SVM

-Unsupervised learning :

• SOM neural network and clustering techniques

-Instance based learning :

• k-NN and RBF neural network

3) Artificial Intelligence

Gabriela Lindemann-von Trzebiatowski,, Assistant Professor, Laboratory of Artificial Intelligence, Institute of Computer Science, Humboldt University Berlin, Germany

-Artificial Intelligence today

• Introduction to AI
• Actual research fields
• Inter-disciplinarity

-Case-Based Reasoning, Multi-Agent Systems

• Theory
• System design
• Data-structures
• Algorithms

-Applications of AI in Medicine (with focus to the work of the AI group of Humboldt University, Berlin)

4) Bio-Computing

Dimitrios Koutsouris, Professor, Biomedical Engineering Laboratory, National Technical University of Athens (NTUA), Greece.

• Machine learning in the analysis of Microarray Data.
• Intelligent Systems for Molecular Biology.
• Pattern recognition

5) Knowledge Discover and Data Mining

Florin Gorunescu, Professor, Department of Mathematics, Biostatistics and Computer Science, University of Medicine and Pharmacy of Craiova, Romania.

-Exploratory data analysis :

• Graphical data visualization methods
• Basic statistical exploratory methods
• Multivariate exploratory techniques

-Data mining Techniques :

• Classification and decision trees
• Regression models
• Naive Bayesian classification
• Genetic algorithms
• Association rules
• Nearest neighbors search

-Data mining tasks :

• Description and summarization
• Classification, clustering, prediction, discovering patterns and rules
• Outliers detection

6) Health Information Systems

: John Mantas, Director of the Health Informatics Laboratory, Faculty of Nursing, National & Kapodistrian University of Athens, Greece.

• Electronic Health Records.
• Medical Databases.
• Health Management Issues.
• Clinical and Health care information Systems.

Evening Lectures :

Invited speakers will give a varied evening lecture program, covering a wide range of subjects of current interest.

• Francesco Sicurello, President of ITM-Italian Association of telemedicine and Medical Informatics, Italy.
• Giuseppe Tritto, President of World Association of Biomedical Technologies, Paris.