Full Description
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.
Contents
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
