About the Book
The book examines the integration of Internet of Things (IoT), blockchain, and smart healthcare, providing a comprehensive analysis of these advanced technologies and their impact on the healthcare industry. It offers practical examples of how blockchain and IoT devices can be used to address real-world healthcare challenges and overcome the hurdles of implementing them in the healthcare sector.
IoT, Blockchain, and Smart Healthcare: Integration Techniques and Case Studies provides a detailed exploration of how these technologies are combined, giving readers a deep understanding of their role in revolutionizing healthcare. It explores the practical applications of blockchain and IoT devices in solving healthcare problems and addresses the challenges of incorporating these technologies into healthcare systems. The book also provides practical guidance on implementing cutting-edge methodologies, enabling readers to apply theoretical knowledge in real-world situations effectively.
By bridging the gap between technology and healthcare, this book makes complex concepts understandable to a wide audience, including healthcare professionals, researchers, technology enthusiasts, and policymakers.
Table of Contents:
Preface
List of Contributors
About the Editors
Chapter 1 Introduction of IoT-Blockchain in Smart Healthcare
Manoj Kumar, Shayam Bihari Goyal, and Urmila Pilania
Chapter 2 Implementing Blockchain for Secure Medical Insurance Claim Settlement Process
Mrinal Pandey, Mamta Arora, and Prerna Kandpal
Chapter 3 Challenges of IoT-Based Healthcare Ecosystem and Possible Remedies
Shakeel Ahamad, Ratneshwer Gupta, Garima Jain, Deepak Uprety, and Sovers Singh Bhist
Chapter 4 Securing AI in Healthcare: Innovations, Architectures, and Privacy Solutions
Amanjot Kaur and Rohit Tanwar
Chapter 5 Ensuring Patient-Centric Data Control using Blockchain in Smart Healthcare System
Manoj Kumar, Urmila Pilania, and Mazdak Zamani
Chapter 6 Interface for Monitoring and Tracking Pregnant Women’s Fetal Health Conditions Based on Cardiotocogram Information
Aniket Kumar, Manish Kumar, R. Girija, Shefali Singhal, and Shilpi Gupta
Chapter 7 Blockchain for Medical Data Management: Ensuring Integrity and Accessibility
Ambika Aggarwal and Ashutosh Bhatt
Chapter 8 Exploring the Role of Steganography in Securing Healthcare Data
Deeya Rajput, Dhruv Sharma, and Rohit Tanwar
Chapter 9 Depression Detection Using Machine Learning Algorithms for Smart Healthcare System
Sanjay Singh, Manoj Kumar, and Urmila Pilania
Chapter 10 Exploring Artificial Intelligence Techniques for Disease Outcome Prediction: Case Study and Smart Healthcare Integration
Shikha Sharma, Ajay Khunteta, Satya Prakash Awasthi, Sumit Kumar Kapoor, and Vijay Prakash Sharma
Chapter 11 Future Trends and Innovation: Integration of IoT-Blockchain in Healthcare
Urmila Pilania and Manoj Kumar
About the Author :
Manoj Kumar is presently working as an Associate Professor in the Department of Computer Science and Technology, at Manav Rachna University, Faridabad. He has over 14 years of experience including academics, industry, and research. He earned his Ph.D. in 2022, in the area of Computer Vision. Dr. Kumar has published many research papers related to moving object detection and tracking in videos and also extracts features of moving objects/vehicles from video in real-time video surveillance systems. He has published more than 10 papers in journals and has presented more than 40 papers at various international conferences. He has published 4 National Patents, has participated in various workshops and Faculty development programs, and has conducted various special sessions at many reputed conferences and workshops. His areas of expertise are Computer Vision, Artificial Intelligence, Machine Learning, Image Processing, IOT and Blockchain.
Urmila Pilania is currently working as an Associate Professor in the Department of Computer Science and Technology, at Manav Rachna University, Faridabad. She has 14 years of experience in academics and research and received her Engineering degree (B. Tech. in Computer Science & Engineering) in 2007 from Guru Jambheshwar University of Science and Technology, Hisar - Haryana (India). Dr. Pilania earned a master’s degree (M.Tech. in Computer Science and Technology) in 2009 from Vaish College of Engineering, Rohtak- Haryana. She was awarded the doctoral degree (Ph.D. in Computer Science and Technology) in 2021 from Manav Rachna University, Faridabad, India. Dr. Pilania has published many research papers related to Information Security, object detection, and classification. She is the author of more than 46 research publications with journals/Conferences of repute and some papers are under review or in press for publication with leading publishers. She has published 3 National Patents, 3 Design Patents and 3 more are under Examination. She has participated in various workshops and FDPs and has also been associated with many conferences, and journals as a reviewer and a member of their technical committee along with delivering guest lectures. Her primary research interests are in Information Security, Image Processing, Machine Learning, and Artificial Intelligence.
Rohit Tanwar received his bachelor’s degree in CSE from Kurukshetra University, Kurukshetra, India, and a master’s Degree in CSE from YMCA University of Science and Technology, Faridabad, India. He received his Ph.D. in CSE from Kurukshetra University, Kurukshetra, and has more than 10 years of experience in teaching. Currently, he is working as an Associate Professor in the School of Computer Science at UPES Dehradun. He has more than forty publications to his credit in different reputed journals and conferences and his areas of interest include Network Security, Optimization Techniques, Human computing, Soft Computing, Cloud computing, Data Mining, etc.
Neelu Jyothi Ahuja is a Professor in the Department of Systemics, at the School of Computer Science at the University of Petroleum and Energy Studies, Dehradun. Her Ph.D. was awarded in 2010 and apart from academic teaching at the university level (both at post-graduate and undergraduate levels), she is an active researcher. From the period of 2010 to 2017, she was head of the Research Centre-Computing Research Institute, spearheading intra-disciplinary research and coordinating research activities. To her credit, she has successfully delivered half a dozen R&D projects and consultancies funded by the Department of Science and Technology (DST), GOI. She has been an invited speaker on various technical and research-oriented topics at widely acclaimed forums, both national and international, and is on the panel of various committees, including the WHO-Promotion of Assistive Products and Technologies, and the DST-Expert Committee for inspection and On-the-Spot review of CORE (long-term) projects. She has also been a chair at various conference sessions and different internal and external meetings/forums. She holds 22+ years of experience in teaching, research, and project proposal development and has published papers in journals and conferences at international and national levels. Her areas of interest include Machine Learning, Intelligent Systems, Intelligent Tutoring Systems, Expert Systems, Artificial Intelligence, ICT, Object-oriented development, and Programming Languages.
Mazdak Zamani earned his Ph.D. in Computer Science from Universiti Teknologi Malaysia (UTM) in 2011. He began his academic career as a Senior Lecturer at UTM's Advanced Informatics School, serving from 2011 to 2015. In 2015, he joined Wenzhou-Kean University as a full-time Assistant Professor in the Department of Computer Science. In Fall 2017, Dr. Zamani transitioned to Felician University, where he served as an Assistant Professor of Cybersecurity and Computer Science. His exceptional contributions led to his promotion to Associate Professor of Cybersecurity in 2020. Since 2021, he has also been an Adjunct Professor at the Graduate Division of the Courant Institute of Mathematical Sciences at New York University, teaching graduate-level courses in Applied Cryptography and Network Security. In Fall 2024, Dr. Zamani joined Empire State University, part of the State University of New York system, as an Assistant Professor in the Department of Computer Science and Technology.
