Digital Transformation in Healthcare 5.0 : : Volume 2: Metaverse, Nanorobots and Machine Learning / / ed. by Rishabha Malviya, Sonali Sundram, Rajesh Kumar Dhanaraj, Seifedine Kadry.

• MitwirkendeR: Alam, Mehtab,; Angadi, Anupama,; Ashok, M.,; Fatima, Iram,; Georrge, John J.,; Gupta, Babita,; Jayashree, J.,; Jeba, Praba J.,; Kamineni, Shasank,; Karunakaran, Manivannan,; Kaur, Upinder,; Kaushik, Eva,; Kaushik, Rohit,; Kavitha, G.,; Keerthi Gorripati, Satya,; Kiran Kumar, M.V.,; Koduru, Tejodbhav,; Koteswara Rao, G.S.N.,; Krishnan, Batri,; Kumar Mishra, Saurav,; Kumar Singh, Deepak,; Kumar Yogi, Manas,; Kumar, Deepak,; Kumar, R.,; Mahesh, T.R.,; Malviya, Rishabha,; Manikandan, V. M.,; Mishra, Pragya,; Mohanasundaram, T.,; Nagaraj, S.,; Pandiarajan, T.,; Pedada, Saraswathi,; Radha, G.V.,; Raj Kumar, J.,; Rajnish, Ranjana,; Rani Budha, Roja,; Rao Patruni, Muralidhara,; Raza Khan, Ihtiram,; Reddy Mandhadi, Jithendar,; Sai Priya, Ch.E.N.,; Saravanan, R.,; Singh, Jaya,; Sundram, Sonali,; Tummala, Meghana,; Vashisht, Chirag,; Venkatachalam, Chandrasekar,; Vetrivel, S.C.,; Vijayashree, J.,; Yasheswini Kandimalla, Sai,
• HerausgeberIn: Kadry, Seifedine,; Kumar Dhanaraj, Rajesh,; Malviya, Rishabha,; Sundram, Sonali,
• Place / Publishing House: Berlin ;, Boston : : De Gruyter, , [2024]; ©2024
• Year of Publication: 2024
• Language: English
• Series: Smart Computing Applications , 9/2
• Physical Description: 1 online resource (XIX, 378 p.)

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,...

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