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

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. Sandeep Kautish, PhD is Professor and Director at Apex Institute of Technology (AIT-CSE), Chandigarh University, Punjab India and an academician by choice and has more than 20 years of full-time experience in teaching and research. He has been associated with Asia Pacific University Malaysia for over five years at their TNE site at Kathmandu Nepal in the capacity of Director-Academics. He earned his doctorate degree in Computer Science on Intelligent Systems in Social Networks. He has over 100 publications and his research works have been published in highly reputed journals, i.e., IEEE Transaction of Industrial Informatics, IEEE Access, and Multimedia Tools and Applications, etc. Dr. Kautish has edited 24 books with leading publishers, i.e., Elsevier, Springer, Emerald, and IGI Global, and is an editorial member/reviewer of various reputed journals. His research interests include healthcare analytics, business analytics, machine learning, data mining, and information systems.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, Journal of Internet Technology, and MDPI Algorithms. He is also areviewer for many journals such as IEEE Access and Transactions on Emerging Topics in Computing, IEEE/ACMTransactions on Networking, Theoretical Computer Science, Journal of Computer and System Sciences, Journalof Combinatorial Optimization, Journal of Modelling in Management, Soft Computing, Information ProcessingLetters, Discrete Mathematics, Discrete Applied Mathematics, and Graph Theory. Dr. Peng is currently the Deanof the Library and Information Services Office of NDHU, an honorary Professor of Beijing Information Scienceand Technology University, China, and a visiting Professor at Ningxia Institute of Science and Technology, China.He is the regional director of the ACM-ICPC Contest Council for Taiwan, a director of the Institute of Informationand Computing Machinery (IICM), a director of the Information Service Association of Chinese Colleges and ofthe Taiwan Association of Cloud Computing (TACC). He is also a supervisor of the Chinese Information LiteracyAssociation, Chairman of the Association of Algorithms and Computation Theory (AACT) and Chairman of theInterlibrary Cooperation Association in Taiwan.

• Part I: Big Data in Healthcare Analytics1. Foundations of Healthcare Informatics2. Smart Healthcare Systems Using Big Data3. Big Data-based Frameworks for Healthcare Systems4. Predictive Analysis and Modelling in Healthcare Systems5. Challenges and Opportunities of Big Data Integration in Patient-Centric Healthcare Analytics Using Mobile Networks6. Emergence of Decision Support Systems in HealthcarePart II: Machine Learning and Deep Learning for Healthcare7. A Comprehensive Review on Deep Learning Techniques for BCI-based Communication Systems8. Machine Learning and Deep Learning-based Clinical Diagnostic Systems9. An Improved Time-Frequency Method for Efficient Diagnosis of Cardiac Arrhythmias10. Local Plastic Surgery-based Face Recognition Using Convolutional Neural Networks11. Machine Learning Algorithms for Prediction of Heart Disease12. Convolutional Siamese Networks for One-Shot Malaria Parasites Recognition in Microscopic Images13. Kidney Disease Prediction Using a Machine Learning Approach: A Comparative and Comprehensive Analysis