The book "Digital Transformation in Healthcare 5.0: Metaverse, Nanorobots, and Machine Learning" is a comprehensive discussion of disruptive technologies and their applications in healthcare. The book starts with an overview of blockchain technology's impact on the healthcare sector, emphasizing its potential to improve data security and interoperability. The book also discusses the Metaverse's role in healthcare transformation, utilizing a blockchain method to improve patient care and medical practices. The book also focuses on the interrelationships of Blockchain-Enabled Metaverse Healthcare Systems and Applications, highlighting innovative strategies. It also introduces an Intraocular Pressure Monitoring System for Glaucoma Patients, demonstrating the integration of IoT and Machine Learning for improved care. The book winds up with a Machine Learning Approach to Voice Analysis in Parkinson's disease Diagnosis, demonstrating the potential of voice analysis as a non-invasive diagnostic tool.

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Yes, you can access Digital Transformation in Healthcare 5.0 by Rishabha Malviya,Sonali Sundram,Rajesh Kumar Dhanaraj,Seifedine Kadry in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Year

Print ISBN

eBook ISBN

Edition

Topic

Computer Science

Subtopic

Computer Science General

Index

Computer Science

Title Page
Copyright
Contents
About the book
List of contributors
Chapter 1 The impact of blockchain technology on the healthcare system
Chapter 2 The role of metaverse in transforming healthcare: blockchain approach
Chapter 3 Blockchain-empowered metaverse healthcare systems and applications
Chapter 4 Role of artificial intelligence in disease diagnosis
Chapter 5 Machine learning for twinning the human body
Chapter 6 Improving patient care and healthcare management using bigdata analytics presents several research challenges
Chapter 7 An emerging trends of bioinformatics and big data analytics in healthcare
Chapter 8 Digital twins in medicine: leveraging machine learning for real-time diagnosis and treatment
Chapter 9 Nanorobots in healthcare
Chapter 10 Semantic-based approach for medical cyber-physical system (MCPS) with biometric authentication for secured privacy
Chapter 11 Integration of cognitive computing and AI for smart healthcare
Chapter 12 An overview of recommender systems in the healthcare domain: significant contributions, challenges, and future scope
Chapter 13 Advancements and challenges of using natural language processing in the healthcare sector
Chapter 14 Intraocular pressure monitoring system for glaucoma patients using IoT and machine learning
Chapter 15 A machine learning approach to voice analysis in Parkinson’s disease diagnosis
Index

About this book

Frequently asked questions

Information

Table of contents