Description |
1 online resource (xv, 424 pages) : illustrations |
Series |
An Auerback Book |
Contents |
Data Mining of Acoustical Properties of Speech as Indicators of Depression; Kumara Shama Ananthakrishna, V.P. Bhandary, K.B. Kumar, and U.C. Niranjan; Artificial Neural Network Based ECG Arrhythmia Classification; H. Haseena, Paul K. Joseph, and Abraham T. Mathew; Human Reflexive Response and its Objective Function Regarding Balance Recovery From Perturbation During Walking; Yu Yikemoto, Wenwei Yu, and Rajendra Acharya U; Automatic Identification of Epileptic EEG Signals Using Nonlinear Parameters; Rajendra Acharya U ; Data Mining Approach to Classify the Pathological Images in Databases Using Color Image Analysis, Keerthana Prasad, Muktha Pai, and Gopalakrishna Prabhu; Discovery of Association Among Diseases in the Upper Gastro Intestinal Tract Using Data Mining Techniques, S.S. Saraf, G.R. Udupi, Santosh D |
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Hajare; Data Analysis Techniques Applied to Metabolomics: Analysis and Classification of Migraine Patterns, Pierangela Giustetto, Filippo Molinari, William Liboni, Cecilia Castro, and Cesare Manetti; System Engineering Principles in the Design of Biomedical Systems; Oliver Faust, Bernard Sputh, and Rajendra Acharya U ; Feature Classification Methods for Knowledge Discovery in Mammograms; Sumeet Dua and Harpreet Singh; Mining of Imaging Biomarkers for Quantitative Evaluation of Osteosrthritis; Xian Du and Sumeet Dua; Typicality Measure and the Creation of Predictive Models in Biomedicine; Mila Kwiatkowska, Krzysztof Kielan, Najib T. Ayas, and C |
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Frank Ryan; Automatic Segmentation Methods and Applications to Biofilm Image Analysis; Dario Rojas, Luis Rueda, Homero Urrutia, Alioune Ngom, and Gerardo Carcamo; On Clustering Gene Expression Time-Series Signals; Numanul Subhani, Luis Ruedal, and Alioune Ngoml; Multi-Scale Method For Biomedical Image Segmentation; Michael K. Dessauerl and Sumeet Dual |
Summary |
"Data mining has rapidly emerged as an enabling, robust, and scalable technique to analyze data for novel patterns, trends, anomalies, structures, and features that can be employed for a variety of biomedical and clinical domains. Approaching the techniques and challenges of image mining from a multidisciplinary perspective, this book presents data mining techniques, methodologies, algorithms, and strategies to analyze biomedical signals and images. Written by experts, the text addresses data mining paradigms for the development of biomedical systems. It also includes special coverage of knowledge discovery in mammograms and emphasizes both the diagnostic and therapeutic fields of eye imaging"Provided by publisher |
Bibliography |
Includes bibliographical references and index |
Notes |
English |
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Print version record |
Subject |
Data mining.
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Medical informatics.
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Bioinformatics.
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Medicine -- Data processing.
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Computational biology.
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Data Mining
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Decision Support Systems, Clinical
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Image Interpretation, ComputerAssisted -- methods
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Signal Processing, ComputerAssisted
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Medical Informatics
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Medical Informatics Applications
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Computational Biology
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Medicine -- Data processing
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Computational biology
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Bioinformatics
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Data mining
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Medical informatics
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Form |
Electronic book
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Author |
Dua, Sumeet.
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Acharya U, Rajendra.
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LC no. |
2010051040 |
ISBN |
9781439839393 |
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1439839395 |
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0429063741 |
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9780429063749 |
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