Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization, especially in clinical healthcare. Various techniques, methodologies, and algorithms are presented in this book to organize data in a structured manner that will assist physicians in the care of patients and help biomedical engineers and computer scientists understand the impact of these techniques on healthcare analytics. The book is divided into two parts: Part 1 covers big data aspects such as healthcare decision support systems and analytics-related topics. Part 2 focuses on the current frameworks and applications of deep learning and machine learning, and provides an outlook on future directions of research and development. The entire book takes a case study approach, providing a wealth of real-world case studies in the application chapters to act as a foundational reference for biomedical engineers, computer scientists, healthcare researchers, and clinicians.

Dr. Pradeep N PhD is Associate Professor in Computer Science and Engineering, Bapuji Institute of Engineering and Technology, Davangere, Karnataka, India affiliated Visvesvaraya Technological University, Belagavi, Karnataka, India. He has 18 years of academic experience, including teaching and research experience. His research areas of interest include machine learning, pattern recognition, medical image analysis, knowledge discovery techniques, and data analytics. He has published more than 20 research articles published in refereed journals, authored six book chapters, and edited several books. He is a reviewer of various international conferences and several journals, including Multimedia Tools and Applications, Springer. His one Indian patent application is published and one Australian patent is granted. He is a professional member in ACM, ISTE and IEI. He was awarded as "Outstanding Teacher in Computer Science and Engineering", during the 3rd Global Outreach Research and Education Summit and Awards 2019, organized by Global Outreach Research and Education Association. Dr. Pradeep N is a technical committee member for Davangere Smart City, Davangere. Dr. Sandeep Kautish is working as a Professor & Dean-Academics at LBEF Campus, Kathmandu, Nepal. He earned his bachelor, master, and doctorate degrees in Computer Science on Intelligent Systems in Social Networks. His research interests lie in Business Analytics, Machine Learning, Data Mining, and Information Systems. He has over 60 publications and his research works have been published in reputed journals such as Computer Standards & Interfaces (SCI, Elsevier), Journal of Ambient Intelligence and Humanized Computing (SCIE, Springer), Wireless Personal Communications (SCIE, Springer), and Journal of Intelligent & Fuzzy Systems (SCIE, IOP Press). Dr. Kautish has authored/edited more than 12 books with reputed publishers including Springer, Elsevier, Scrivener Wiley, De Gruyter, and IGI Global, and is an editorial member/reviewer of various reputed SCI/SCIE journals i.e. Computer Communications (Elsevier), ACM Transactions on Internet Technology, Cluster Computing (Springer), Neural Computing and Applications (Springer), Journal of Intelligent Manufacturing (Springer), Multimedia Tools & Applications (Springer), Computational Intelligence (Wiley), Australasian Journal of Information Systems (AJIS, International Journal of Decision Support System Technology (IGI Global USA), and International Journal of Image Mining (Inderscience). Dr. Sheng-Lung Peng is a full Professor in the Department of Computer Science and Information Engineering atNational Dong Hwa University, Taiwan. He received his PhD degree in Computer Science and Information Engineering from the National Tsing Hua University, Taiwan. His research interests are in designing and analyzingalgorithms for Bioinformatics, Combinatorics, Data Mining, and Networks. Dr. Peng has edited several specialissues for journals, such as Soft Computing,