Digital Transformation in Healthcare 5.0: Volume 2: Metaverse, Nanorobots and Machine Learning

Book

Digital Transformation in Healthcare 5.0

Volume 2: Metaverse, Nanorobots and Machine Learning

Edited by: Rishabha Malviya , Sonali Sundram , Rajesh Kumar Dhanaraj and Seifedine Kadry

Language: English

Published/Copyright: 2024

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This book is in the series

Volume 9/2 | Smart Computing Applications

About this book

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.

Discusses the integration of blockchain in the metaverse for digitization of healthcare services.

Explores early diagnosis of disease using machine learning.

Covers patient care and healthcare management with big data analytics

Author / Editor information

R. Malviya, S. Sundram, Galgotias Univ.; R. Kumar Dhanaraj, Symbosis International, India; S. Kadry, Noroff Univ. Norway.

Topics

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Frontmatter
I

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About the book
V

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Preface
VII

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Foreword
IX

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Contents
XI

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List of contributors
XV

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Chapter 1 The impact of blockchain technology on the healthcare system
1
J. Raj Kumar, G.S.N. Koteswara Rao, Jithendar Reddy Mandhadi, G.V. Radha, Roja Rani Budha and M.V. Kiran Kumar

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Chapter 2 The role of metaverse in transforming healthcare: blockchain approach
33
Ch.E.N. Sai Priya and Manas Kumar Yogi

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Chapter 3 Blockchain-empowered metaverse healthcare systems and applications
61
S.C. Vetrivel and T. Mohanasundaram

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Chapter 4 Role of artificial intelligence in disease diagnosis
89
Deepak Kumar and Rishabha Malviya

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Chapter 5 Machine learning for twinning the human body
105
Manivannan Karunakaran, Chandrasekar Venkatachalam, T.R. Mahesh, Batri Krishnan and S. Nagaraj

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Chapter 6 Improving patient care and healthcare management using bigdata analytics presents several research challenges
131
M. Ashok, T. Pandiarajan, G. Kavitha, R. Saravanan and R. Kumar

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Chapter 7 An emerging trends of bioinformatics and big data analytics in healthcare
159
Saurav Kumar Mishra, Praba J. Jeba and John J. Georrge

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Chapter 8 Digital twins in medicine: leveraging machine learning for real-time diagnosis and treatment
189
Upinder Kaur

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Chapter 9 Nanorobots in healthcare
209
Iram Fatima, Mehtab Alam and Ihtiram Raza Khan

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Chapter 10 Semantic-based approach for medical cyber-physical system (MCPS) with biometric authentication for secured privacy
237
Chirag Vashisht, Rohit Kaushik and Eva Kaushik

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Chapter 11 Integration of cognitive computing and AI for smart healthcare
267
Pragya Mishra, J. Jayashree, J. Vijayashree and Pragya Mishra

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Chapter 12 An overview of recommender systems in the healthcare domain: significant contributions, challenges, and future scope
293
Anupama Angadi, Muralidhara Rao Patruni, Satya Keerthi Gorripati and Saraswathi Pedada

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Chapter 13 Advancements and challenges of using natural language processing in the healthcare sector
317
Shasank Kamineni, Meghana Tummala, Sai Yasheswini Kandimalla, Tejodbhav Koduru and V. M. Manikandan

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Chapter 14 Intraocular pressure monitoring system for glaucoma patients using IoT and machine learning
343
Babita Gupta, Rishabha Malviya and Sonali Sundram

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Chapter 15 A machine learning approach to voice analysis in Parkinson’s disease diagnosis
365
Jaya Singh, Ranjana Rajnish and Deepak Kumar Singh

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Index
375

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Publishing information

Pages and Images/Illustrations in book

eBook published on:

May 20, 2024

eBook ISBN:

9783111398549

Hardcover published on:

May 20, 2024

Hardcover ISBN:

9783111397382

Pages and Images/Illustrations in book

Front matter:

19

Main content:

378

Illustrations:

8

Coloured Illustrations:

195

Tables:

42

https://doi.org/10.1515/9783111398549

eBook ISBN: 9783111398549

Hardcover ISBN: 9783111397382

Keywords for this book

Machine learning; Digital Twins; cognitive computing; artificial intelligence; healthcare.

Audience(s) for this book

Institutional libraries, researchers and practitioners working in healthcare and information technology.

Safety & product resources

Manufacturer information:
Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com

Digital Transformation in Healthcare 5.0

Overview

About this book

Author / Editor information

Topics

Table of contents

Frontmatter

About the book

Preface

Foreword

Contents

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

Bibliographic data