Data mining can help pinpoint hidden information in medical data and accurately differentiate pathological from normal data. It can help to extract hidden features from patient groups and disease states and can aid in automated decision making. Data Mining in Biomedical Imaging, Signaling, and Systems provides an in-depth examination of the biomedi
Data Mining of Acoustical Properties of Speech as Indicators of Depression. Artificial Neural Network Based ECG Arrhythmia Classification. Human Reflexive Response and its Objective Function Regarding Balance Recovery From Perturbation During Walking. Automatic Identification of Epileptic EEG Signals Using Nonlinear Parameters. Data Mining Approach to Classify the Pathological Images in Databases Using Color Image Analysis. Discovery of Association Among Diseases in the Upper Gastro Intestinal Tract Using Data Mining Techniques. Data Analysis Techniques Applied to Metabolomics: Analysis and Classification of Migraine Patterns. System Engineering Principles in the Design of Biomedical Systems. Feature Classification Methods for Knowledge Discovery in Mammograms. Mining of Imaging Biomarkers for Quantitative Evaluation of Osteosrthritis. Typicality Measure and the Creation of Predictive Models in Biomedicine. Automatic Segmentation Methods and Applications to Biofilm Image Analysis. On Clustering Gene Expression Time-Series Signals. Multi-Scale Method For Biomedical Image Segmentation.