Digital Future of Healthcare

This book focuses on the applications of different digital platforms in the field of healthcare. It describes different devices used in digital healthcare, their benefits, diagnosis, use in treatment, and use cases related to mobile healthcare. Further, it covers machine and deep learning, blockchain technology, big data analytics as relevant to digital healthcare, telehealth technology, and digital applications in the field of push-and-pull pharma marketing. Overall, it enables readers to understand the basics of decision-making processes using digital techniques for the healthcare field.

Features:

• Discusses various aspects of digitization of healthcare systems
• Examines deployment of machine learning including IoT and medical analytics
• Provides studies on the design, implementation, development, and management of intelligent healthcare systems
• Includes sensor-based digitization of healthcare data
• Reviews real-time advancement and challenges of digital communication in the field of healthcare

This book is aimed at researchers and graduate students in healthcare, internet of things, machine learning, computer science, robotics, wearables, electrical engineering, and biomedical engineering.

Chapter 1 Introduction to Digital Future of Healthcare

Jyotismita Chaki

Chapter 2 A Content-Based Image Retrieval System for Diagnosis and Detection of Skin Cancer Using Self-Organizing Feature Maps

K. Sujatha, R.S. Ponmagal, Rajeswari Hari, M. Anand, V. Karthikeyan, V. Srividhya, N.P.G. Bhavani, and Su-Qun Cao

Chapter 3 Innovative Wearable Device Technology for Biomedical Applications

Arpan Ghosh, Taranjeet Kaur, Pritam Dhalla, Aryan Jaiswal, Nirmal Kumar Mohakud, Santosh Kumar Panda, Namrata Misra, and Mrutyunjay Suar

Chapter 4 Advancements in Digital Computation: Issues and Opportunities in Healthcare Services

Mayur Rathi, S.P. Sonavane, S.G. Tamhankar, and F.S. Kazi

Chapter 5 Epileptic Aura Detection to Rescue the Epilepsy Patient Through Wireless Body Area Sensor Network

Alo Sen, Ratula Ray, Rahul Roy, and Satya Ranjan Dash

Chapter 6 Prediction of Users’ Performance in Surgical Augmented Reality Simulation-Based Training Using Machine Learning Techniques

Hamza Ghandorh

Chapter 7 An Ensemble Approach for Argument Mining on Medical Reviews

Abhiruchi Bhattacharya, Kasturi Kumbhar, Padmaja Borwankar, Ariscia Mendes, and Sujata Khedkar

Chapter 8 Augmented Reality Systems and Haptic Devices for Needle Insertion Medical Training

Cléber Gimenez Corrêa, Claiton de Oliveira, and Silvio Ricardo Rodrigues Sanches

Chapter 9 Current Strategies and Future Perspectives of Autoimmune Disorder

Satya Narayan Sahu, Biswajit Mishra, Rojalin Sahu, and Subrat Kumar Pattanayak

Chapter 10 Aspects of Improvement of Digital Healthcare Systems Through Digital Transformation

Maheswata Moharana, Satya Narayan Sahu, Subrat Kumar Pattanayak, and Fahmida Khan

Chapter 11 Automated Detection of COVID-19 Lesion in Lung CT Slices with VGG-UNet and Handcrafted Features

S. Arunmozhi, Vaddi Satya Sai Sarojini, T. Pavithra, Varsha Varghese, V. Deepti, and V. Rajinikanth

Nilanjan Dey, PhD. is an Associate Professor in the Department of Computer Science and Engineering, JIS University, Kolkata, India. He is a visiting fellow of the University of Reading, UK. He is an Adjunct Professor of Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012–2015). He was awarded his PhD from Jadavpur University in 2015. He has authored/edited more than 90 books with Elsevier, Wiley, CRC Press, and Springer, and published more than 300 papers. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence (IGI Global), Associated Editor of IEEE Access, and International Journal of Information Technology (Springer). He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (Springer), Series Co-Editor of Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier), Series Editor of Computational Intelligence in Engineering Problem Solving and Intelligent Signal Processing and Data Analysis (CRC). His main research interests include medical imaging, machine learning, computer aided diagnosis, data mining, etc. He is the Indian Ambassador of the International Federation for Information Processing—Young ICT Group and Senior member of IEEE.

Nabanita Das is an Asst. Professor in department of Computer Science and Engineering, Bengal Institute of Technology, India. She is currently a Ph.D. Research Scholar with the Department of Computer Science and Engineering, Gandhi Institute of Technology, Orissa, India. She received the M.Tech. degree from MAKAUT, West Bengal, India, and has more than ten years of teaching experience. She is actively involved in research in the domains of the Machine Learning, IoT, Software Engineering, Computer Aided Diagnosis.

Jyotismita Chaki, PhD. is an Assistant Professor in School of Information