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U-Healthcare Monitoring Systems: Volume One: Design and Applications focuses on designing efficient U-healthcare systems which require the integration and development of informati… Read more
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Immediately download your ebook while waiting for your print delivery. No promo code needed.
U-Healthcare Monitoring Systems: Volume One: Design and Applications focuses on designing efficient U-healthcare systems which require the integration and development of information technology service/facilities, wireless sensors technology, wireless communication tools, and localization techniques, along with health management monitoring, including increased commercialized service or trial services. These u-healthcare systems allow users to check and remotely manage the health conditions of their parents. Furthermore, context-aware service in u-healthcare systems includes a computer which provides an intelligent service based on the user’s different conditions by outlining appropriate information relevant to the user’s situation.
This volume will help engineers design sensors, wireless systems and wireless communication embedded systems to provide an integrated u-healthcare monitoring system. This volume provides readers with a solid basis in the design and applications of u-healthcare monitoring systems.
Researchers and industry professionals in the areas of system design, computer science, electronics engineering, wireless communication, body area networking, IoT, big data, data management, monitoring systems design and information technology
1. Ontology-based Electronic Health Record Semantic Interoperability: A Survey - A Unified Fuzzy Ontology for Distributed Electronic Health Record Semantic Interoperability
2. A Genetic Algorithm Based Metaheuristic Approach to Customize a Computer Aided Classification System for Enhanced Screen Film Mammograms
3. Improving Prediction Accuracy of Heart Disease with Ensemble Learning and Majority Voting Rule
4. Comparison of Multi-class and Hierarchical CAC Design for Benign and Malignant Hepatic Tumors
5. Wearable U-HRM Device for Rural Application
6. Medical image diagnosis for disease detection : A Deep learning approach
7. Reasoning Methodologies in Clinical Decision Support Systems: A Literature Review"; "Ontology Enhanced Fuzzy Clinical Decision Support System
8. Embedded Healthcare System for Day-to-day Fitness, Chronic Kidney Disease and Congestive Heart Failure"; "Embedded Healthcare System based on Bio-impedance Analysis for Identification and Classification of Skin Diseases in Indian Context
9. Dummy Framework for Automated Generation and Testing of P300 Features
10. Machine learning for medical diagnosis: A neural network classifier optimized via Directed Bee Colony optimization algorithm
11. A Hybrid CAD System for Liver Diseases using Clinical and Radiological Data
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Nilanjan Dey (Senior Member, IEEE) received the B.Tech., M.Tech. in information technology from West Bengal Board of Technical University and Ph.D. degrees in electronics and telecommunication engineering from Jadavpur University, Kolkata, India, in 2005, 2011, and 2015, respectively. Currently, he is Associate Professor with the Techno International New Town, Kolkata and a visiting fellow of the University of Reading, UK. He has authored over 300 research articles in peer-reviewed journals and international conferences and 40 authored books. His research interests include medical imaging and machine learning. Moreover, he actively participates in program and organizing committees for prestigious international conferences, including World Conference on Smart Trends in Systems Security and Sustainability (WorldS4), International Congress on Information and Communication Technology (ICICT), International Conference on Information and Communications Technology for Sustainable Development (ICT4SD) etc.
He is also the Editor-in-Chief of International Journal of Ambient Computing and Intelligence, Associate Editor of IEEE Transactions on Technology and Society and series Co-Editor of Springer Tracts in Nature-Inspired Computing and Data-Intensive Research from Springer Nature and Advances in Ubiquitous Sensing Applications for Healthcare from Elsevier etc. Furthermore, he was an Editorial Board Member Complex & Intelligence Systems, Springer, Applied Soft Computing, Elsevier and he is an International Journal of Information Technology, Springer, International Journal of Information and Decision Sciences etc. He is a Fellow of IETE and member of IE, ISOC etc.
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