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001447318 0247_ $$a10.1007/978-981-16-8150-9$$2doi
001447318 035__ $$aSP(OCoLC)1327576823
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001447318 049__ $$aISEA
001447318 050_4 $$aR858
001447318 08204 $$a610.285$$223/eng/20220608
001447318 24500 $$aIntelligent healthcare :$$binfrastructure, algorithms and management /$$cChinmay Chakraborty, Mohammad R. Khosravi, editors.
001447318 264_1 $$aSingapore :$$bSpringer,$$c[2022]
001447318 264_4 $$c©2022
001447318 300__ $$a1 online resource
001447318 336__ $$atext$$btxt$$2rdacontent
001447318 337__ $$acomputer$$bc$$2rdamedia
001447318 338__ $$aonline resource$$bcr$$2rdacarrier
001447318 5050_ $$aChapter 1. Distributed and Big Health Data Processing for Remote and Ubiquitous Healthcare Services Using Blind Statistical Computing: Review and Trends on Blindness for Internet of Artificially Intelligent Medical Things -- Chapter 2. Computer Techniques for Medical Image Classifica-tion: A Review -- Chapter 3. Optimal Feature Selection for Computer-Aided Charac-terization of Tissues Case Study of Mammograms -- Chapter 4. Breast Cancer Detection Using Particle Swarm Op-timization and Decision Tree Machine Learning Technique -- Chapter 5. Accountable, Responsible,Transparent Artificial Intelligence in Ambient IntelligenceSystems for Healthcare -- Chapter 6. Intelligent elderly people fall detection based on modified deep learning deep transfer learning and IoT using thermal imaging-assisted pervasive surveillance -- Chapter 7. An Analytic Approach to Diagnose Heart Stroke Using Supervised Machine Learning Techniques -- Chapter 8. A Predictive Analysis for Diagnosis of COVID-19, Pneumonia and Lung Cancer Using Deep Learning -- Chapter 9. Internet of Things in the Healthcare Applications: Overview of Security and Privacy Issues -- Chapter 10. Secure and Privacy-aware Intelligent Healthcare Systems: A Review -- Chapter 11. Secure data transfer and provenance for distributed healthcare -- Chapter 12. Blockchain Technology in Healthcare: Use cases Study -- Chapter 13. Integrating Artificial Intelligence and Blockchain for Enabling a Trusted Ecosystem for Healthcare Sector -- Chapter 14. Internet of Medical Things (IoMT): Applications, Challenges, and Prospects in a Data-Driven Technology -- Chapter 15. Healthcare Infrastructure in Future Smart Cities -- Chapter 16. Wearable Sensors and Pervasive Computing for Remote Healthcare -- Chapter 17. A wavelet-based robust medical image watermarking technique using whale optimization algorithm for data exchange through internet of medical things -- Chapter 18. Emergence of 3D Printing Technology in the Intelligent Healthcare Systems: A Brief Drug Delivery Approach -- Chapter 19. Efficient Physical Layer Techniques for Healthcare Applications: Co-operative Network Coding Algorithms and Modified Equalizers -- Chapter 20. Emerging Paradigm of Smart Healthcare in the Management of COVID-19 Pandemic and Future Health Crisis -- Chapter 21. E-Health System for Automatic Control of Travel Certificates and Monitoring of the Spread of COVID-19 in Tunisia.
001447318 506__ $$aAccess limited to authorized users.
001447318 520__ $$aThe book Intelligent Healthcare: Infrastructure, Algorithms, and Management cover a wide range of research topics on innovative intelligent healthcare solutions and advancements with the latest research developments. Data analytics are relevant for healthcare to meet many technical challenges and issues that need to be addressed to realize this potential. The advanced healthcare systems have to be upgraded with new capabilities such as data analytics, machine learning, intelligent decision making, and more professional services. The Internet of Things helps to design and develop intelligent healthcare solutions assisted by security, data analytics, and machine learning. This book will provide federated learning, Data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart healthcare. This book aims to attract works on multidisciplinary research spanning across computer science and engineering, environmental studies, services, urban planning and development, Healthcare, social sciences, and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative learning and computing solutions and big medical data-powered applications to cope with the real-world challenges for building smart healthcare sectors. Main Features: Immersive technologies in healthcare Internet of medical things Federated learning algorithms Explainable AI in Pervasive Healthcare New management principles using biomedical data Secured healthcare management systems This book aims to set up a better understanding of data scientists, researchers, and technologists under innovative digital health. The reader can find out existing research challenges, current market trends, and low-cost technologies to smoothly address the digital health issue.
001447318 588__ $$aDescription based on print version record.
001447318 650_0 $$aMedical informatics.
001447318 650_0 $$aArtificial intelligence$$xMedical applications.
001447318 650_0 $$aInternet of things$$xHealth aspects.
001447318 650_6 $$aMédecine$$xInformatique.$$0(CaQQLa)201-0103112
001447318 650_6 $$aIntelligence artificielle en médecine.$$0(CaQQLa)201-0180593
001447318 655_0 $$aElectronic books.
001447318 7001_ $$aChakraborty, Chinmay,$$d1984-$$eeditor.
001447318 7001_ $$aKhosravi, Mohammad R.,$$eeditor.
001447318 77608 $$iPrint version:$$tINTELLIGENT HEALTHCARE.$$d[Place of publication not identified] : SPRINGER VERLAG, SINGAPOR, 2022$$z981168149X$$w(OCoLC)1280603838
001447318 852__ $$bebk
001447318 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-8150-9$$zOnline Access$$91397441.1
001447318 909CO $$ooai:library.usi.edu:1447318$$pGLOBAL_SET
001447318 980__ $$aBIB
001447318 980__ $$aEBOOK
001447318 982__ $$aEbook
001447318 983__ $$aOnline
001447318 994__ $$a92$$bISE