Sunday, September 13th, 2015
09:00–10:40 | AIMA. Session Chair: Chair: Krzysztof Pancerz (room E5) |
09:00-09:20 | Brain Image Classification Based on Automated Morphometry and Penalised Linear Discriminant Analysis with Resampling - E. Janoušová, D. Schwarz, G. Montana, T. Kasparek |
09:20-09:40 | On Integrating Clustering and Statistical Analysis for Supporting Cardiovascular Disease Diagnosis - A. Wosiak, D. Zakrzewska |
09:40-10:00 | Computer based quantification of normal and pathological vocal folds phonatory processes from laryngovideostroboscopy - B. Kopczyński, P. Strumiłło, E. Niebudek-Bogusz |
10:00-10:20 | Introduction to Knowledge Discovery in Medical Databases and Use of Reliability Analysis in Data Mining - E. Zaitseva, M. Kvassay, V. Levashenko, J. Kostolny |
10:20-10:40 | Predicting Thyrotoxicosis in Patients Using a Set of Routine Tests: Adding their Rate of Annual Time-Series Variations to Self-Organizing Map-Based Predictive Model Improves Diagnostic Accuracy - S. Aoki, S. Nishizaka, K. Sato, K. Hoshi, J. Kawakami, K. Mori, Y. Nakagawa, W. Hida, K. Yoshida |
11:00–13:00 | AIMA. Session Chair: Wiesław Paja (room E5) |
11:00-11:15 | Consistency-Based Preprocessing for Classification of Data Coming from Evaluation Sheets of Subjects with ASDs - K. Pancerz, A. Derkacz, J. Gomula |
11:15-11:30 | Comparison of SVM and k-NN classifiers in the estimation of the state of the arteriovenous fistula problem - M. Grochowina, L. Leniowska |
11:30-11:45 | Anthropometric Predictors and Artificial Neural Networks in the diagnosis of Hypertension - K. Pytel, T. Nawarycz |
11:45-12:00 | Exploring Medical Curricula Using Social Network Analysis Methods - M. Víta, M. Komenda, A. Pokorná |
12:00-12:15 | Medical diagnosis support and accuracy improvement by application of total scoring from feature selection approach - W. Paja |
12:15-12:30 | Utilization of Single Whole Body Vibration Training Unit in Rehabilitation of Elderly Patients with Neurological Disorders - J. Majernik, M. Dziakova, J. Zivcak |
12:30-12:45 | A two-level classifier for automatic medical objects classification - P. Pardel, P. Pardel, J. Bazan, J. Zarychta, S. Bazan-Socha |