Data mining in biomedical imaging, signaling, and systems / edited by Sumeet Dua and Rajendra Acharya U.

Format:

Book

Contributor:

Dua, Sumeet.

Acharya U, Rajendra.

Series:

An Auerback Book Data mining in biomedical imaging, signaling, and systems

Language:

English

Subjects (All):

Data mining.

Medical informatics.

Bioinformatics.

Physical Description:

1 online resource (434 p.)

Edition:

1st ed.

Place of Publication:

Boca Raton : Auerbach Publications, 2011.

Language Note:

English

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.

Contents:

Front Cover; Contents; Preface; Editors; Contributors; Chapter 1. Feature Extraction Methods in Biomedical Signaling and Imaging; Chapter 2. Supervised and Unsupervised Learning Methods in Biomedical Signaling and Imaging; Chapter 3. Data Mining of Acoustical Properties of Speech as Indicators of Depression; Chapter 4. Typicality Measure and the Creation of Predictive Models in Biomedicine; Chapter 5. Gaussian Mixture Model-Based Clustering Technique for Electrocardiogram Analysis; Chapter 6. Pattern Recognition Algorithms for Seizure Applications

Chapter 7. Application of Parametric and Nonparametric Methods in Arrhythmia ClassificationChapter 8. Supervised and Unsupervised Metabonomic Techniques in Clinical Diagnosis: Classification of 677-MTHFR Mutations in Migraine Sufferers; Chapter 9. Automatic Grading of Adult Depression Using a Backpropagation Neural Network Classifier; Chapter 10. Alignment-Based Clustering of Gene Expression Time-Series Data; Chapter 11. Mining of Imaging Biomarkers for Quantitative Evaluation of Osteoarthritis; Chapter 12. Supervised Classification of Digital Mammograms

Chapter 13. Biofilm Image Analysis: Automatic Segmentation Methods and ApplicationsChapter 14. Discovering Association of Diseases in the Upper Gastrointestinal Tract Using Text Mining Techniques; Chapter 15. Mental Health Informatics: Scopes and Challenges; Chapter 16. Systems Engineering for Medical Informatics; Back Cover

Notes:

An Auerbach book.

Includes bibliographical references at the end of each chapters.

Description based on print version record.

ISBN:

1-04-005339-4

0-429-06374-1

1-4398-3939-5

9780429063749

OCLC:

759865883