Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for the analysis of data and discovery of mechanisms that create data. It provides computational methods and tools for intelligent data analysis, with an emphasis on problem-solving relating to automated data collection, such as computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and more. This book provides useful references for educational…mehr
Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for the analysis of data and discovery of mechanisms that create data. It provides computational methods and tools for intelligent data analysis, with an emphasis on problem-solving relating to automated data collection, such as computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and more. This book provides useful references for educational institutions, industry professionals, researchers, scientists, engineers and practitioners interested in intelligent data analysis, knowledge discovery, and decision support in databases.
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Autorenporträt
Dr. D. Jude Hemanth is currently working as a professor in Department of ECE, Karunya University, Coimbatore, India. He also holds the position of "Visiting Professor? in Faculty of Electrical Engineering and Information Technology, University of Oradea, Romania. He also serves as the "Research Scientist? of Computational Intelligence and Information Systems (CI2S) Lab, Argentina; LAPISCO research lab, Brazil; RIADI Lab, Tunisia; Research Centre for Applied Intelligence, University of Craiova, Romania and e-health and telemedicine group, University of Valladolid, Spain. Dr. Hemanth received his B.E degree in ECE from Bharathiar University in 2002, M.E degree in communication systems from Anna University in 2006 and Ph.D. from Karunya University in 2013. He has published 37 edited books with reputed publishers such as Elsevier, Springer and IET. His research areas include Computational Intelligence and Image processing. He has authored more than 200 research papers in reputed SC
IE indexed International Journals and Scopus indexed International Conferences.
Inhaltsangabe
1. A Review on Intelligent Data Analysis System for an IoT-Based Capsule Endoscopy System 2. Ant Colony optimization-based image texture segmentation in medical images 3. A Feature Fusion Based Discriminant Learning Model for Diagnosis of Neuromuscular Disorders Using Single Channel Needle EMG Signal 4. Evolution of Consciousness Systems with bacteria 5. Analysis of transform-based compression techniques for MRI and CT images 6. Liveness Assured Multimodal Biometrics using Electrocardiogram for Smart Health Applications 7. Medical Image Retrieval System in PACS Environment for Clinical Decision Making 8. A Neuro Fuzzy Inference Model for Diabetic Retinopathy Classification 9. Predictive Analysis of breast cancer using machine learning techniques 10. Right Ventricle Image Segmentation from MRI using optimization techniques 11. Computational Automated System for Red Blood Cell Detection and Segmentation 12. Fuzzy logic based approaches for gene regulatory network inference 13. Evolutionary Algorithm with Memetic Search for Optic Disc Localization in Retinal Fundus Images 14. A novel approach of targeting prognostics of Bruxism disorder using C4-P4 channel of EEG signal 15. Physiotherapy and Rehabilitation Assessment System Using Bio-inspired Visual Cortex Computational Model 16. Classification of Myocardial Ischemia in Contrast Enhancement Using Machine Learning 17. Simple link sensor network based remote monitoring of multiple patients 18. Prognosticating the risk of fibrosis progression in non-alcoholic fatty liver diseases 19. Alzheimer Disease Detection from Structural MR Images using Fuzzy C-Means based Deep Belief Neural Network 20. Optimal Control of Fractional Order HIV-Immune System Using Neural Network Approach 21. Diagnosis of Ocular Disease using Optical Coherence Tomography Image 22. Hybrid Approach for Classification of EEG Signals using T-F Images with Wavelets and Texture Features
1. A Review on Intelligent Data Analysis System for an IoT-Based Capsule Endoscopy System 2. Ant Colony optimization-based image texture segmentation in medical images 3. A Feature Fusion Based Discriminant Learning Model for Diagnosis of Neuromuscular Disorders Using Single Channel Needle EMG Signal 4. Evolution of Consciousness Systems with bacteria 5. Analysis of transform-based compression techniques for MRI and CT images 6. Liveness Assured Multimodal Biometrics using Electrocardiogram for Smart Health Applications 7. Medical Image Retrieval System in PACS Environment for Clinical Decision Making 8. A Neuro Fuzzy Inference Model for Diabetic Retinopathy Classification 9. Predictive Analysis of breast cancer using machine learning techniques 10. Right Ventricle Image Segmentation from MRI using optimization techniques 11. Computational Automated System for Red Blood Cell Detection and Segmentation 12. Fuzzy logic based approaches for gene regulatory network inference 13. Evolutionary Algorithm with Memetic Search for Optic Disc Localization in Retinal Fundus Images 14. A novel approach of targeting prognostics of Bruxism disorder using C4-P4 channel of EEG signal 15. Physiotherapy and Rehabilitation Assessment System Using Bio-inspired Visual Cortex Computational Model 16. Classification of Myocardial Ischemia in Contrast Enhancement Using Machine Learning 17. Simple link sensor network based remote monitoring of multiple patients 18. Prognosticating the risk of fibrosis progression in non-alcoholic fatty liver diseases 19. Alzheimer Disease Detection from Structural MR Images using Fuzzy C-Means based Deep Belief Neural Network 20. Optimal Control of Fractional Order HIV-Immune System Using Neural Network Approach 21. Diagnosis of Ocular Disease using Optical Coherence Tomography Image 22. Hybrid Approach for Classification of EEG Signals using T-F Images with Wavelets and Texture Features
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