Data mining in biomedical imaging, signaling, and systems / Edited by Sumeet Dua and Rajendra Acharya U. — Boca Raton : CRC Press, 2011. – (58.17115/D232)

Contents

    Contents
    
    Preface v
    Editors xi
    Contributors xiii
    1 Feature Extraction Methods in Biomedical Signaling and Imaging
    2 Supervised and Unsupervised Learning Methods in Biomedical Signaling and Imaging
    3 Data Mining of Acoustical Properties of Speech as Indicators of Depression 47
    4 Typicality Measure and the Creation of Predictive Models in Biomedicine 69
    5 Gaussian Mixture Model-Based Clustering Technique for Electrocardiogram Analysis 101
    6 Pattern Recognition Algorithms for Seizure Applications 119
    7 Application of Parametric and Nonparametric Methods in Arrhythmia Classification
    8 Supervised and Unsupervised Metabonomic Techniques in Clinical Diagnosis: Classification of 677-MTHFR Mutations in Migraine Sufferers 171
    9 Automatic Grading of Adult Depression Using a Backpropagation Neural Network Classifier 191
    10 Alignment-Based Clustering of Gene Expression Time-Series Data 227
    11 Mining of Imaging Biomarkers for Quantitative Evaluation of Osteoarthritis 263
    12 Supervised Classification of Digital Mammograms 285
    13 Biofilm Image Analysis: Automatic Segmentation Methods and Applications 319
    14 Discovering Association of Diseases in the Upper Gastrointestinal Tract Using Text Mining Techniques 351
    15 Mental Health Informatics: Scopes and Challenges 373
    16 Systems Engineering for Medical Informatics 391
    Index 417