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Intelligent Data Analysis for Biomedical Applications
Challenges and Solutions
- 1st Edition - March 15, 2019
- Editors: D. Jude Hemanth, Deepak Gupta, Valentina Emilia Balas
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 5 5 5 3 - 0
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 5 6 4 3 - 8
Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visua… Read more
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Request a sales quoteIntelligent 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.
- Provides the methods and tools necessary for intelligent data analysis and gives solutions to problems resulting from automated data collection
- Contains an analysis of medical databases to provide diagnostic expert systems
- Addresses the integration of intelligent data analysis techniques within biomedical information systems
Graduate students, researchers and professionals working on computing, biomedical and healthcare areas. Hospital industry, health care diagnostic centres, professionals and practitioners in intelligent data analysis in biomedical science
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
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
- No. of pages: 294
- Language: English
- Edition: 1
- Published: March 15, 2019
- Imprint: Academic Press
- Paperback ISBN: 9780128155530
- eBook ISBN: 9780128156438
DH
D. Jude Hemanth
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 SCIE indexed International Journals and Scopus indexed International Conferences.
Affiliations and expertise
Professor, ECE Department, Karunya Institute of Technology and Sciences, Coimbatore, IndiaDG
Deepak Gupta
Dr. Deepak Gupta is an assistant professor at Maharaja Agrasen Institute of Technology, Delhi, India. He is an eminent academician, including roles as lecturer, researcher, consultant, community service, PhD, and post-doctorate supervision. Dr. Gupta focuses on rational and practical learning and has contributed important literature in the fields of Human-Computer Interaction, Intelligent Data Analysis, Nature-Inspired Computing, Machine Learning, and Soft Computing. Dr. Gupta has authored/edited a number of books, including Emerging Trends and Roles of Fog, Edge, and Pervasive Computing in Intelligent IoT-Driven Applications, Wiley; Advanced Machine Intelligence and Signal Processing, Springer; Deep Learning for Medical Applications with Unique Data, Elsevier/Academic Press; Explainable Edge AI: A Futuristic Computing Perspective, Springer; Applications of Big Data in Healthcare, Elsevier/Academic Press; and Data Science for Covid-19, Volumes 1 and 2, Elsevier/Academic Press; among others.
Affiliations and expertise
Assistant Professor, Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, Delhi, IndiaVB
Valentina Emilia Balas
Dr. Valentina Emilia Balas is currently a Full Professor at the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She holds a PhD cum laude in applied electronics and telecommunications from the Polytechnic University of Timisoara. Dr. Balas is the author of more than 350 research papers in refereed journals and for international conferences. Her research interests cover intelligent systems, fuzzy control, soft computing, smart sensors, information fusion, modeling, and simulation. She is the Editor-in-Chief of the 'International Journal of Advanced Intelligence Paradigms' and the 'International Journal of Computational Systems Engineering', an editorial board member for several other national and international publications, as well as an expert evaluator for national and international projects and PhD theses. Dr. Balas is the Director of the Intelligent Systems Research Center and the Director of the Department of International Relations, Programs and Projects at the “Aurel Vlaicu” University of Arad. She served as the General Chair for nine editions of the International Workshop on Soft Computing Applications (SOFA) organized in 2005–2020 and held in Romania and Hungary. Dr. Balas participated in many international conferences as organizer, honorary chair, session chair, member in steering, advisory or international program committees, and keynote speaker. Now she is working on a national project funded by the European Union: BioCell-NanoART = Novel Bio-inspired Cellular Nano-Architectures. She is a member of the European Society for Fuzzy Logic and Technology, a member of the Society for Industrial and Applied Mathematics, a senior member of IEEE, a member of the IEEE Fuzzy Systems Technical Committee, the chair of Task Force 14 of the IEEE Emergent Technologies Technical Committee, a member of the IEEE Soft Computing Technical Committee. She is also the recipient of the "Tudor Tanasescu" prize from the Romanian Academy for contributions in the field of soft computing methods (2019).
Affiliations and expertise
Full Professor, Department of Automatics and Applied Software, Faculty of Engineering, "Aurel Vlaicu" University of Arad, Arad, RomaniaRead Intelligent Data Analysis for Biomedical Applications on ScienceDirect