"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. 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. Thisbook aims at researchers and graduate students in health care, internet of things, machine learning, computer science, robotics, wearables, electrical engineering, and biomedical engineering"--
This book focusses on applications of different digital platforms in the field of healthcare including different devices used, their benefits, diagnosis, use in treatment, and use cases related to mobile healthcare. It covers machine learning, blockchain technology, big data analytics digital healthcare, telehealth technology and so forth.
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| Editors |
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xi | |
| Contributors |
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Chapter 1 Introduction to Digital Future of Healthcare |
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Chapter 2 A Content-Based Image Retrieval System for Diagnosis and Detection of Skin Cancer Using Self-Organizing Feature Maps |
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Chapter 3 Innovative Wearable Device Technology for Biomedical Applications |
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Chapter 4 Advancements in Digital Computation: Issues and Opportunities in Healthcare Services |
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Chapter 5 Epileptic Aura Detection to Rescue the Epilepsy Patient Through Wireless Body Area Sensor Network |
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Chapter 6 Prediction of Users' Performance in Surgical Augmented Reality Simulation-Based Training Using Machine Learning Techniques |
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Chapter 7 An Ensemble Approach for Argument Mining on Medical Reviews |
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Chapter 8 Augmented Reality Systems and Haptic Devices for Needle Insertion Medical Training |
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Silvio Ricardo Rodrigues Sanches |
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Chapter 9 Current Strategies and Future Perspectives of Autoimmune Disorder |
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Chapter 10 Aspects of Improvement of Digital Healthcare Systems Through Digital Transformation |
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Chapter 11 Automated Detection of COVID-19 Lesion in Lung CT Slices with VGG-UNet and Handcrafted Features |
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| Index |
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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 (20122015). 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 ProcessingYoung 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 Beginners Guide to Image Preprocessing Techniques from CRC Press, Taylor and Francis and (2) A Beginners 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).
