Intelligent data analysis for biomedical applications : challenges and solutions / Edited by Hemanth D Jude, Deepak Gupta, Valentina Emilia Balas.

By:

Jude, Hemanth D [author. ]

Contributor(s):

Material type: Text

TextSeries: Intelligent Data Centric SystemsPublisher: Cambridge, MA : Academic Press is an imprint of Elsevier, 2019Edition: 1st editionDescription: xii, 283 pages : illustrations ; 23 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9780128155530

Subject(s):

LOC classification:

QH324.2 HEM

Contents:

IoT-Based intelligent capsule endoscopy system: a technical review -- Optimization of methods for image-texture segmentation using ant colony optimization -- A feature fusion-based discriminant learning model for diagnosis of neuromuscular disorders using single-channel needle electromyogram signals -- Evolution of consciousness systems with bacterial behaviour -- Analysis of transform-based compression techniques for MRI and CT images -- A medical image retrieval system in PACS environment for clinical decision making -- A neuro-fuzzy inference model for diabetic retinopathy classification -- Computational automated system for red blood cell detection and segmentation -- Evolutionary algorithm with memetic search capability for optic disc localization in retinal fudus images -- Classification of Myocardial Ischemia in delayed contrast enhancement using machine learning -- Simple-link sensor network-based remote monitoring of multiple patients -- Hybrid approach for classification of electroencephalographic signals using time-frequency images with wavelets and texture features.

Summary: "The book presents specialized statistical, pattern recognition, machine learning, data abstraction, and visualization tools for analysis of data and discovery of the mechanisms that created the data. It also provides computational methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering data comprehension. Emphasis is given to solving the problems that result from automated data collection, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and so on. By presenting tools and methods for intelligent data analysis, this book teaches readers to extract useful information stored in medical databases for decision-making thus providing a useful reference for educational institutions, industry, researchers, scientists, engineers, practitioners interested in intelligent data analysis, knowledge discovery, and decision support in databases, particularly those who are interested in using these technologies in biomedical science"

Item type:

Books

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	GSU Library Epoch General Stacks	Non-fiction	QH324.2HEM (Browse shelf(Opens below))	Available		50000002102

Includes bibliographical references and index.

IoT-Based intelligent capsule endoscopy system: a technical review --
Optimization of methods for image-texture segmentation using ant colony optimization --
A feature fusion-based discriminant learning model for diagnosis of neuromuscular disorders using single-channel needle electromyogram signals --
Evolution of consciousness systems with bacterial behaviour --
Analysis of transform-based compression techniques for MRI and CT images --
A medical image retrieval system in PACS environment for clinical decision making --
A neuro-fuzzy inference model for diabetic retinopathy classification --
Computational automated system for red blood cell detection and segmentation --
Evolutionary algorithm with memetic search capability for optic disc localization in retinal fudus images --
Classification of Myocardial Ischemia in delayed contrast enhancement using machine learning --
Simple-link sensor network-based remote monitoring of multiple patients --
Hybrid approach for classification of electroencephalographic signals using time-frequency images with wavelets and texture features.

"The book presents specialized statistical, pattern recognition, machine learning, data abstraction, and visualization tools for analysis of data and discovery of the mechanisms that created the data. It also provides computational methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering data comprehension. Emphasis is given to solving the problems that result from automated data collection, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and so on. By presenting tools and methods for intelligent data analysis, this book teaches readers to extract useful information stored in medical databases for decision-making thus providing a useful reference for educational institutions, industry, researchers, scientists, engineers, practitioners interested in intelligent data analysis, knowledge discovery, and decision support in databases, particularly those who are interested in using these technologies in biomedical science"

There are no comments on this title.

to post a comment.