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Data mining in biomedical imaging, signaling, and systems

Author: Sumeet Dua; Rajendra Acharya U
Publisher: Boca Raton : Auerbach Publications, 2011.
Edition/Format:   eBook : Document : EnglishView all editions and formats
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  Read more...
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Details

Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Sumeet Dua; Rajendra Acharya U
ISBN: 9781439839393 1439839395
OCLC Number: 759865883
Notes: "An Auerbach book."
Description: 1 online resource (xv, 424 pages) : illustrations, portraits
Contents: 1. Feature extraction methods in biomedical signaling and imaging / Xian Du and Sumeet Dua --
2. Supervised and unsupervised learning methods in biomedical signaling and imaging / Xian Du and Sumeet Dua --
3. Data mining of acoustical properties of speech as indicators of depression / Ananthakrishna T. [and others] --
4. Typicality measure and the creation of predictive models in biomedicine / Mila Kwiatkowska [and others] --
5. Gaussian mixture model-based clustering technique for electrocardiogram analysis / Roshan Joy Martis, Chandan Chakraborty, and Ajoy Kumar Ray --
6. Pattern recognition algorithms for seizure applications / Alan Chiu --
7. Application of parametric and nonparametric methods in arrhythmia classification / Haseena H., K. Paul Joseph, and Abraham T. Mathew --
8. Supervised and unsupervised metabonomic techniques in clinical diagnosis : classification of 677-MTHFR mutations in migraine sufferers / Filippo Molinari [and others] --
9. Automatic grading of adult depression using a backpropagation neural network classifier / Subhagata Chattopadhyay [and others] --
10. Alignment-based clustering of gene expression time-series data / Numanul Subhani [and others] --
11. Mining of imaging biomarkers for quantitative evaluation of osteoarthritis / Xian Du --
12. Supervised classification of digital mammograms / Harpreet Singh and Sumeet Dua --
13. Biofilm image analysis : automatic segmentation methods and applications / Dario Rojas [and others] --
14. Discovering association of diseases in the upper gastrointestinal tract using text mining techniques / S.S. Saraf, G.R. Udupi, and Santosh D. Hajare --
15. Mental health informatics : scopes and challenges / Subhagata Chattopadhyay --
16. Systems engineering for medical informatics / Oliver Faust [and others].
Responsibility: edited by Sumeet Dua and Rajendra Acharya U.

Abstract:

"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.

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