LEADER 06891nam 22008175 450 001 9910743223503321 005 20251113185008.0 010 $a981-16-8150-3 010 $a981-16-8149-X 010 $a981-16-8150-3 024 7 $a10.1007/978-981-16-8150-9 035 $a(MiAaPQ)EBC7008472 035 $a(Au-PeEL)EBL7008472 035 $a(CKB)23114793700041 035 $aEBL7008472 035 $a(AU-PeEL)EBL7008472 035 $a(PPN)26914935X 035 $a(OCoLC)1327576823 035 $a(DE-He213)978-981-16-8150-9 035 $a(EXLCZ)9923114793700041 100 $a20220602d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligent Healthcare $eInfrastructure, Algorithms and Management /$fedited by Chinmay Chakraborty, Mohammad R. Khosravi 205 $a1st ed. 2022. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022. 215 $a1 online resource (493 pages) 225 1 $aComputer Science Series 300 $aDescription based upon print version of record. 311 08$aPrint version: Chakraborty, Chinmay Intelligent Healthcare Singapore : Springer,c2022 9789811681493 320 $aIncludes bibliographical references. 327 $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, Pneumoniaand 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 BriefDrug 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. 330 $aThe book Intelligent Healthcare: Infrastructure, Algorithms, and Management® cover a wide range of research topics on innovative intelligent healthcare solutions and advancements with the latest research developments. Data analytics are relevant for healthcare to meet many technical challenges and issues that need to be addressed to realize this potential. The advanced healthcare systems have to be upgraded with new capabilities such as data analytics, machine learning, intelligent decision making, and more professional services. The Internet of Things helps to design and develop intelligent healthcare solutions assisted by security, data analytics, and machine learning. This book will provide federated learning, Data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart healthcare. This book aims to attract works on multidisciplinary research spanning across computer science and engineering, environmental studies, services, urban planning and development, Healthcare, social sciences, and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative learning and computing solutions and big medical data-powered applications to cope with the real-world challenges for building smart healthcare sectors. Main Features: Ø Immersive technologies in healthcare Ø Internet of medical things Ø Federated learning algorithms Ø Explainable AI in Pervasive Healthcare Ø New management principles using biomedical data Ø Secured healthcare management systems This book aims to set up a better understanding of data scientists, researchers, and technologists under innovative digital health. The reader can find out existing research challenges, current market trends, and low-cost technologies to smoothly address the digital health issue. 410 0$aComputer Science Series 606 $aMedical informatics 606 $aComputational intelligence 606 $aInternet of things 606 $aBiomedical engineering 606 $aImage processing 606 $aComputers and civilization 606 $aHealth Informatics 606 $aComputational Intelligence 606 $aInternet of Things 606 $aMedical and Health Technologies 606 $aImage Processing 606 $aComputers and Society 615 0$aMedical informatics. 615 0$aComputational intelligence. 615 0$aInternet of things. 615 0$aBiomedical engineering. 615 0$aImage processing. 615 0$aComputers and civilization. 615 14$aHealth Informatics. 615 24$aComputational Intelligence. 615 24$aInternet of Things. 615 24$aMedical and Health Technologies. 615 24$aImage Processing. 615 24$aComputers and Society. 676 $a060 702 $aChakraborty$b Chinmay 702 $aKhosravi$b Mohammad R. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910743223503321 996 $aIntelligent Healthcare$92869543 997 $aUNINA