Series Editor(s): Vishal Jain and Jyotir Moy Chatterjee

Scope: Ever since the early days of Machine Learning in the 1950s, the goal has been to learn from data, to gain knowledge from experience and to make predictions. The field was accelerated by the introduction of statistical learning theory in the late 1960s, although at that time it was a purely theoretical analysis of the problem of function estimation from a given collection of data. Machine learning can solve a wide variety of problems in computer vision, including image recognition, object detection and tracking, automatic document analysis, face detection and recognition, computational photography, augmented reality, 3D reconstruction, and medical image processing, to name a few. Recently, rapid developments in advanced computing and imaging systems in biomedical engineering areas have given rise to a new dimension of research, and the increasing size of biomedical data requires precise machine learning-based data mining algorithms.
In this series, an attempt has been made to capture the scope of various applications of machine learning in the biomedical engineering and healthcare fields, with a special emphasis on the most representative machine learning techniques, namely deep learning-based approaches. Machine learning tasks are typically classified into two broad categories depending on whether there is a learning 'label' or 'feedback' available to a learning system: supervised learning and unsupervised learning. This series also introduces various types of machine learning tasks in the biomedical engineering field from classification (supervised learning) to clustering (unsupervised learning). The objective of the series is to compile all aspects of biomedical science and healthcare informatics, from fundamental principles to current advanced concepts.
This series will cover but is not limited to the following research domains:
* Machine Learning/Deep Learning in Healthcare
* Biomedical Engineering and Machine Learning/Deep Learning
* Disease Diagnosis with Machine Learning/Deep Learning
* Machine Learning/Deep Learning in Telemedicine
* Clinical Trial and Research with Machine Learning
* Use of Deep Learning in Electronic Health Record/Electronic Medical Report
* Deep Learning: The Future of Healthcare
* Issues and Challenges Arising from Using Deep Learning in Healthcare
* Medical Imaging with Deep Learning/Machine Learning
* Big Data Analytics and Intelligence: A Perspective for Healthcare
* Blockchain-Based Solution for Healthcare Management
* Computational Intelligence and Healthcare Informatics
* Data Science for Pandemic Environment Management
* Digital Healthcare Services
* Enabling Healthcare 4.0 for Pandemics
* Intelligent Healthcare Systems for Sustainable Development
* Internet of Medical Things for Healthcare Applications
* Machine Learning/Deep Learning in Health Informatics
* Ontology-Based Information Retrieval in Healthcare System
* Pervasive Computing Paradigms for Mental Health
* Remote Sensing for Environment and Disaster Management for Effective Healthcare System
* Semantic Web for Effective Healthcare Systems: Impact and Challenges
* Web Semantics for Future Directions in Healthcare
* Wireless Mobile Communication and Healthcare

About the Series Editor(s):
Dr. Vishal Jain is an Associate Professor at Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University, Greater Noida, U. P. India. Before that, he has worked for several years as an Associate Professor at Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi. He has more than 15 years of experience in the academics. He obtained Ph.D (CSE), M.Tech (CSE), MBA (HR), MCA, MCP and CCNA. He has more than 600 research citation indices with Google Scholar (h-index score 13 and i-10 index 22). He has authored more than 90 research papers/chapters in the reputed conferences and journals, including Web of Science and Scopus. He has authored and edited more than 30 books with various reputed publishers, including Elsevier, Springer, IET, Apple Academic Press, CRC, Taylor and Francis Group, Scrivener, Wiley, NOVA Science Publishers, Emerald and IGI-Global. His research areas include information retrieval, semantic web, ontology engineering, data mining, ad hoc networks, and sensor networks. He received a Young Active Member Award for the year 2012–13 from the Computer Society of India, Best Faculty Award for the year 2017 and Best Researcher Award for the year 2019 from BVICAM, New Delhi.

Prof. Jyotir Moy Chatterjee is an Assistant Professor in the Information Technology department at Lord Buddha Education Foundation (LBEF), Kathmandu, Nepal. Prior to joining LBEF, he worked as an Assistant Professor in the Computer Science & Engineering department at GD Rungta College of Engineering & Technology (CSVTU), Bhilai, India. He received his M. Tech in Computer Science & Engineering from Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha and a B. Tech in Computer Science & Engineering from Dr. MGR Educational & Research Institute, Chennai. He is credited with 40 international research paper publications, 2 conference papers, 5 authored books, 9 edited books, 11 book chapters and 1 patent. His research interests include cloud computing, big data, privacy preservation, data mining, internet of things, machine learning, and blockchain technology. He is member of various national and international professional societies including STRA, IFERP, ASR, IRSS, IAA, MEACSE, MIAE, IRED, IAOIP, ICSES, SDIWC, ISRD, IS, SEI, IARA, CCRI, etc. He is serving as an editorial board member of various reputed journals of IGI Global & serving as a reviewer for various reputed journals & international conferences of Elsevier, Springer and IEEE.

Submission to the series:
The series is open to handbooks, authored books, edited volumes.

Dr. Vishal Jain,
Associate Professor, Bharati Vidyapeeth's Institute of Computer Applications and Management (BVICAM),
A-4, Paschim Vihar, New Delhi-63
Mobile: +91-9899997263.
Email: drvishaljain83@gmail.com

Prof. Jyotir Moy Chatterjee,
Assistant Professor (IT),
Lord Buddha Education Foundation (LBEF), Kathmandu, Nepal
Mobile: +977-9880025647
E-Mail: jyotirchatterjee@gmail.com

Published and Forthcoming Titles