Digital Future of Healthcare
- Available for pre-order. Item will ship after November 24, 2021
This book focusses 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 process using digital techniques for the healthcare field.
- 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 aims at researchers and graduate students in health care, internet of things, machine learning, computer science, robotics, wearables, electrical engineering, and biomedical engineering.
Table of Contents
Chapter 1: Introduction to digital future of Healthcare
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, V. Karthikeyan, V. Srividhya, K.S. Thivaya, Su-Qun Cao
Chapter 3: Innovative Wearable Device Technology for Biomedical Applications
Arpan Ghosha, Pritam Dhallab, Aryan Jaiswala, Nirmal Kumar Mohakud, Namrata Misra, MrutyunjaySuar
Chapter 4: Advancements in Digital Computation: Issues and Opportunities in Healthcare Services
Mayur Rathi, S P Sonavane, S P Sonavanen, S P Sonavane
Chapter 5: Epileptic aura detection to rescue the epilepsy patient through wireless body area sensor network
Alo Sen, Ratula Ray, Rahul Roy, Satya Ranjan Dash
Chapter 6: Prediction of Users Performance in Surgical Augmented Reality Simulation-based Training Using Machine Learning Techniques
Chapter 7: An Ensemble Approach for Argument Mining on Medical Reviews
Abhiruchi Bhattacharya, Kasturi Kumbhar, Padmaja Borwankar, Ariscia Mendes, Sujata Khedkar
Chapter 8: Augmented Reality systems and haptic devices for needle insertion medical training
Cleber Gimenez Correa, Claiton de Oliveira, Silvio Ricardo Rodrigues Sanches
Chapter 9: Current strategies and future perspectives of autoimmune disorder
Satya Narayan Sahu, Biswajit Mishra, Rojalin Sahu, Subrat Kumar Pattanayak
Chapter 10: Aspects of improvement of digital health care systems through digital transformation
Maheswata Moharana, Satya narayan Sahu, Fahmida Khan, Subrat Kumar Pattanayak
Chapter 11: Automated Detection of COVID19 Lesion in Lung CT Slices with VGG-UNet and Handcrafted Features
S. Arunmozhi, Vaddi Satya Sai Sarojini, T. Pavithra, Varsha Varghese, V. Deepti, 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 Technology and Engineering at Vellore Institute of Technology, Vellore, India. She has done her PhD (Engg) from Jadavpur University, Kolkata, India. Her research interests include: Computer Vision and Image Processing, Pattern Recognition, Medical Imaging, Artificial Intelligence and Machine learning. She has authored many international conferences and journal papers. She is the author of the following books titled: (1) A Beginner’s Guide to Image Preprocessing Techniques from CRC Press, Taylor and Francis and (2) A Beginner’s Guide to Image Shape Feature Extraction Techniques from CRC Press, Taylor and Francis, (3) Texture Feature Extraction Techniques for Image Recognition (Springer), (4) Image Color Feature Extraction Techniques: Fundamentals and Applications (Springer), (5) Artificial Intelligence for Coronavirus Outbreak (Springer). She has edited the following books titled: (1) Smart Biosensors in Medical Care (Elsevier) and (2) Sensors for Health Monitoring (Elsevier). Currently she is the Associate Editor of Array journal, Elsevier and IET Image Processing Journal (IF: 1.995).