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Artikelmerkmale
- Artikelzustand
- Book Title
- Artificial Intelligence-enabled Blockchain Technology and Digital
- ISBN
- 9781394287390
Über dieses Produkt
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1394287399
ISBN-13
9781394287390
eBay Product ID (ePID)
19070932547
Product Key Features
Number of Pages
496 Pages
Language
English
Publication Name
Artificial Intelligence-Enabled Blockchain Technology and Digital Twin for Smart Hospitals
Subject
Intelligence (Ai) & Semantics, General
Publication Year
2024
Type
Textbook
Subject Area
Computers, Medical
Format
Hardcover
Dimensions
Item Height
1.2 in
Item Weight
43.3 Oz
Item Length
10 in
Item Width
7 in
Additional Product Features
Intended Audience
Scholarly & Professional
Dewey Edition
23
Dewey Decimal
610.285
Table Of Content
Preface xix Part 1: Basic Fundamentals and Principles 1 1 Introduction to Smart Hospital 3 R. Bhuvana, R. J. Hemalatha, S. Baskar and Krishnakumar Kosalaram 2 Wireless Medical Sensor Networks in Smart Hospitals 19 Renugadevi A. S., Jayaprakash M., Kaviya P., Kavin Raj P.N. and Jenish G.S. 3 Introduction of DNA Computing in Cryptography 39 M. Venkata Krishna Reddy, R. Ravinder Reddy, E. Padma Latha, Sirisha Alamanda and P.V.S. Srinivas Part 2: Methods and Applications 61 4 Enhancing Diabetic Retinopathy and Glaucoma Diagnosis through Efficient Retinal Vessel Segmentation and Disease Classification 63 Asadi Srinivasulu 5 Machine Learning-Enabled Digital Twins for Diagnostic and Therapeutic Purposes 77 Neel Shah, Jayansh Nagar, Kesha Desai, Nirav Bhatt, Nikita Bhatt and Hiren Mewada 6 Blockchain as the Backbone of a Connected Ecosystem of Smart Hospitals 99 C.M. Nalayini, V. Sathya, Shruthi Arunkumar and M. Dinesh Babu 7 Blockchain for Edge Association in Digital Twin Empowered 6G Networks 123 C. Fancy, M. Anand and T. M. Sheeba 8 Blockchain for Security and Privacy in the Smart Healthcare 153 V. Karthikeyan, S. Sridhar Raj, K. Gopalakrishnan, J. Dani Reagan Vivek and Anita Antwiwaa 9 Conceptual and Empirical Evidence for the Implementation of Blockchain Technology as a Solution for Healthcare Service Providers in India 179 B.C.M. Patnaik, Ipseeta Satpathy, Rocky Dwyer, Amit Kumar Tyagi and Anish Patnaik 10 Blockchain-Enabled Internet of Things (IoTs) Platforms for IoT-Based Healthcare and Biomedical Sectors 201 Amit Kumar Tyagi 11 Electronic Health Records in a Blockchain 219 Reshma V. and Rajesh Mamilla 12 A PSO-Based Hybrid Cardiovascular Disease Prediction for Using Artificial Flora Algorithm 231 Ritu Aggarwal, Gulbir Singh and Eshaan Aggarwal 13 AI and Transfer Learning-Based Framework for Efficient Classification and Detection of Lyme Disease 245 Pramit Brata Chanda, Saikat Das, Sharanya Bhattacharya, Souhardya Biswas and Subir Kumar Sarkar 14 Framework for Gender Detection Using Facial Countenances 269 Shyla, Shalu and Mohit Dayal Part 3: Issues and Challenges 287 15 Unveiling the Challenges and Limitations in COVID-19 Health Data Prediction with Convolutional Neural Networks: A Data Science Research Perspective 289 Asadi Srinivasulu, Piyush Agrawal, Amit Agrawal and Goddindla Sreenivasulu Part 4: Future Opportunities 309 16 Cloud-Based Digital Twinning for Structural Health Monitoring Using Deep Learning 311 K. Renugadevi, T. Jayasankar and J. ArputhaVijaya Selvi 17 Smartphone-Based Sensors for Biomedical Applications 327 Amit Kumar Tyagi, Richa and Shabnam Kumari 18 Blockchain for Improving Security and Privacy in the Smart Sensor Network 347 Amit Kumar Tyagi and Tanuj Surve 19 Sensors and Digital Twin Application in Healthcare Facilities Management 369 Amit Kumar Tyagi 20 Integration of Internet of Medical Things (IoMT) with Blockchain Technology to Improve Security and Privacy 391 Silky Pareyani, Neeta Nathani and Jagdeesh Kumar Ahirwar 21 Advancing Healthcare Diagnostics: Machine Learning-Driven Digital Twins for Precise Brain Tumor and Breast Cancer Assessment 413 J. Olalekan Awujoola, T. Aniemeka Enem, F. N. Ogwueleka, O. Abioye and E. Abidemi Awujoola 22 Digital Twin Applications in Healthcare Facilities Management 435 Kandan M., Naveen P., G. Nagarajan and S. Janagiraman 23 Ethical and Technological Convergence: AI and Blockchain in Halal Healthcare 451 md Mahfujur Rahman Index 467
Synopsis
The book uniquely explores the fundamentals of blockchain and digital twin and their uses in smart hospitals. Artificial Intelligence-Enabled Blockchain Technology and Digital Twin for Smart Hospitals provides fundamental information on blockchain and digital twin technology as effective solutions in smart hospitals. Digital twin technology enables the creation of real-time virtual replicas of hospital assets and patients, enhancing predictive maintenance, operational efficiency, and patient care. Blockchain technology provides a secure and transparent platform for managing and sharing sensitive data, such as medical records and pharmaceutical supply chains. By combining these technologies, smart hospitals can ensure data security, interoperability, and streamlined operations while providing patient-centered care. The book also explores the impact of collected medical data from real-time systems in smart hospitals, and by making it accessible to all doctors via a smartphone or mobile device for fast decisions. Inevitable challenges such as privacy concerns and integration costs must, of course, be addressed. However, the potential benefits in terms of improved healthcare quality, reduced costs, and global health initiatives makes the integration of these technologies a compelling avenue for the future of healthcare. Some of the topics that readers will find in this book include: Wireless Medical Sensor Networks in Smart Hospitals DNA Computing in Cryptography Enhancing Diabetic Retinopathy and Glaucoma Diagnosis through Efficient Retinal Vessel Segmentation and Disease Classification Machine Learning-Enabled Digital Twins for Diagnostic And Therapeutic Purposes Blockchain as the Backbone of a Connected Ecosystem of Smart Hospitals Blockchain for Edge Association in Digital Twin Empowered 6G Networks Blockchain for Security and Privacy in Smart Healthcare Blockchain-Enabled Internet of Things (IoTs) Platforms for IoT-Based Healthcare and Biomedical Sector Electronic Health Records in a Blockchain PSO-Based Hybrid Cardiovascular Disease Prediction for Using Artificial Flora Algorithm AI and Transfer Learning Based Framework for Efficient Classification And Detection Of Lyme Disease Framework for Gender Detection Using Facial Countenances Smartphone-Based Sensors for Biomedical Applications Blockchain for Improving Security and Privacy in the Smart Sensor Network Sensors and Digital Twin Application in Healthcare Facilities Management Integration of Internet of Medical Things (IoMT) with Blockchain Technology to Improve Security and Privacy Machine Learning-Driven Digital Twins for Precise Brain Tumor and Breast Cancer Assessment Ethical and Technological Convergence: AI and Blockchain in Halal Healthcare Digital Twin Application in Healthcare Facilities Management Cloud-based Digital Twinning for Structural Health Monitoring Using Deep Learning. Audience The book will be read by hospital and healthcare providers, administrators, policymakers, scientists and engineers in artificial intelligence, information technology, electronics engineering, and related disciplines.
LC Classification Number
R858.A7 2024
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