Intelligent data analysis for biomedical applications challenges and solutions / edited by Dr. D. Jude Hemanth, Department of ECE, Karunya University, India, Dr. Deepak Gupta, Department of Computer Science and Engineering Maharaja Agrasen, Institute of Technology, Guru Gobind Singh Indraprastha University, India, Prof. Valentina Emilia Balas, 'Aurel Vlaicu' University of Arad, Romania ; series editor Fatos Xhafa, Universitat Politècnica de Catalunya, Spain.
| Other author | Hemanth, D. Jude. |
| Other author | Gupta, Deepak, active 2015-2016. |
| Other author | Balas, Valentina Emilia. |
| Format | Electronic |
| Publication Info | London, United Kingdom ; San Diego, CA, United States : Academic Press is an imprint of Elsevier, [2019] |
| Description | xii, 283 pages : illustrations ; 23 cm |
| Supplemental Content | Full text available from eBook - Engineering 2019 |
| Subjects |
| Series | Intelligent data centric systems Intelligent data centric systems. ^A1334749 |
| 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. |
| Abstract | "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"-- Back cover |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2018951818 |
| ISBN | 9780128155530 (paperback) |
| ISBN | 0128155531 (paperback) |