Blockchain-Enabled Innovations in Location-Based Services for Healthcare

Häftad, Engelska, 2027

AvAjay Kumar Gupta,Udai Shanker,Vijayalakshmi Saravanan,Sanjay Kumar

2 549 kr

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Blockchain-Enabled Innovations in Location-Based Services for Healthcare addresses the growing need for secure, intelligent healthcare solutions integrating location-based services (LBS), Internet of Things (IoT), and blockchain technologies. This reference explores how these technologies transform healthcare delivery improving autonomy and real-time care while safeguarding sensitive data. It responds to the challenges posed by the proliferation of wearable sensors and smart medical devices by proposing decentralized, privacy-preserving frameworks.

The book’s comprehensive chapters cover blockchain trust models, adaptive privacy for patient trajectories, wearable computing, deep learning for medical imaging, secure communication in healthcare IoT, and AI-powered diagnostics. Contributions from global experts provide case-driven analyses and technical depth, addressing current challenges in healthcare data security, interoperability, and predictive modeling. The interdisciplinary approach integrates computer science, data privacy, and healthcare informatics, making it a valuable resource for researchers and professionals.

Blockchain-Enabled Innovations in Location-Based Services for Healthcare benefits academic researchers, industry practitioners, graduate students, and policymakers by offering cutting-edge knowledge in secure, decentralized healthcare systems. It equips readers with advanced methodologies and practical solutions to design inclusive healthcare technologies, fostering innovation in smart health monitoring, medical image analysis, and data-driven diagnostics within privacy-compliant frameworks.

Provides comprehensive coverage of blockchain, AI, and IoT integration in healthcare
Presents case-driven methodologies with real-world healthcare implementations
Offers advanced research insights on big data analytics and medical image processing
Integrates privacy-preserving technologies with IoT and big data analytics

Produktinformation

Utgivningsdatum2027-01-10
Mått191 x 235 x undefined mm
FormatHäftad
SpråkEngelska
Antal sidor300
FörlagElsevier Science
ISBN9780443459429

Tillhör följande kategorier

Biomedicinsk teknik inom Medicin
Biokemisk teknik inom Naturvetenskap och teknik
Artificiell intelligens inom Data och IT
Systemvetenskap och AI inom Data och IT

Dr. Ajay Kumar Gupta is Assistant Professor of Computer Science at Allahabad Degree College, University of Allahabad, India. He earned his Ph.D. from M.M.M. University of Technology, Gorakhpur, specializing in spatio-temporal databases, location-based services, and mobile distributed systems. With 28 publications in reputed journals and conferences, serves as a reviewer for multiple international publishers. Dr. Gupta advocates for ethical research practices. Dr. Udai Shanker, Professor at M.M.M. University of Technology, Gorakhpur, holds a Ph.D. from IIT Roorkee. A respected academic and researcher, he has authored 119 papers and contributed significantly to real-time and distributed database systems. He serves on editorial boards of nine international journals and is recognized for his impactful teaching and research in distributed real-time databases and grid databases. Dr. Vijayalakshmi Saravanan is Assistant Professor at the University of Texas at Tyler and visiting faculty at Brookhaven National Lab. She earned her Ph.D. through the Erasmus Mundus EU-Government Fellowship and has held postdoctoral positions at the University at Buffalo and University of Waterloo. Her research spans HPC, AI, machine learning, and power-aware processor design. She has received numerous awards, including a $750,000 DOE FAIR grant, and actively contributes as an editor and leader in IEEE, ACM, and other professional organizations. Sanjay Kumar is a Manager at Concentrix in Atlanta, GA. Previously, he served as a Technical/Project Lead at HCL America Inc. and was a core team member of a pilot batch. He has over 12 years of solid IT experience in ASM, DevOps, Configuration Management, Infrastructure, Production Support, and Operations Leadership, primarily supporting telecom client T-Mobile Inc., USA, through various vendors. He leads multiple technical projects, ensuring timely completion within budget while meeting business requirements. His project experience includes web applications (TMO, MYMTO, Ebill, WPC, Product Catalog, Epiphany, etc.), retail applications (POS, mPOS, EIP, QV, QVXP, TESA, Vertex, Watson, Watson Admin, TOM/DASH, TAP, TBC, B2B), care applications (Streamline, Care), and order management OMNI applications, coordinating with third-party vendors such as Vesta, Apple, and IBM in partnership with T-Mobile. He is experienced in service delivery, managing external managed service providers, evaluating service delivery reports, and performing weekly analyses covering SLAs and overdue issues. His certifications include SAFe 4 Product Owner/Product Manager (2020), SAFe® 4 DevOps Practitioner (2019), ITIL V3 Foundation (2014), and Relational Database Management System (RDBMS) (2009).

1. Blockchain-Enabled Innovations in Location-Based Services for Healthcare2. Blockchain and Trust Models for Secure Location-Based Healthcare Services3. Adaptive Privacy Models for Protecting Patient Trajectories in Blockchain-Enabled Mobile Health4. Wearable Computing and Blockchain for Personalized Location-Aware Health Monitoring5. Deep Learning Approaches for Location-Aware Medical Imaging and Diagnostics in Blockchain Healthcare6. Knowledge-Driven Blockchain Systems for Smart Location-Based Healthcare Delivery7. Data-Driven Machine Learning for Intelligent Location-Aware Healthcare and Diagnostics8. Security and Analytics Frameworks for Location-Based Healthcare, IoT, and Blockchain Systems9. Location Privacy Challenges and Blockchain Solutions in Mobile Health and Smart Wellness10. Image Forensics and Deep Learning for Secure Blockchain-Enabled Location-Based Healthcare Data11. Consensus Mechanisms for Blockchain-Enabled Location-Based Healthcare Systems12. Wireless Sensor Networks and IoT for Blockchain-Enabled Location-Aware Health Monitoring13. Secure Communication and Trust-Aware Routing in Blockchain-Enabled Location-Based Healthcare IoT14. Integrating AI, Blockchain, and Imaging for Location-Aware Healthcare Applications15. AI-Powered Image and Video Analytics for Blockchain-Enabled Location-Based Smart Healthcare16. Blockchain and Intelligent Networking for Location-Based Healthcare and Mobility Solutions17. Deep Learning and Blockchain for Location-Aware Medical Imaging in Smart Diagnostics18. IoT, SDN, and Big Data Analytics in Blockchain-Enabled Location-Based Wireless Healthcare Systems