Data-Driven Analytics for Healthcare

Meghna Sharma, PhD, is currently working as Associate Professor & Data Science Specialisation Lead in the Department of Computer Science and Engineering at The NorthCap University (NCU), Gurugram, India. She has more than 20 years of teaching, research, and administration experience. Dr. Sharma has worked as a Scientist in the Control Systems Group, ISRO Satellite Center, Bangalore. She is a recipient of “Award for Science” conferred by Govt. of Haryana. Her major areas of interests are machine learning, artificial intelligence, big data analytics, and data mining. She has more than 35 research papers to her credit published in reputed journals, conferences, and book chapters. She has three international patents published and granted and two national patents published in the AI domain. She has also been a participant in the program committees of several international conferences and on the editorial boards of eminent international journals. She has many certification courses of cutting-edge technologies in the domain of data science to her credit from international and national universities of repute through NPTEL, Coursera, and UpGrad. She has obtained her Doctor of Philosophy in area of Machine Learning from J.C. Bose University of Science and Technology, YMCA, India. Priyanka Vashisht, PhD, is currently working as an Associate Professor in the Department of Computer Science & Engineering at Amity University Haryana, Gurugram, India. She earned her doctorate degree in Grid Computing from Thapar University, Patiala, India, in 2017. Her major areas of interests are cloud computing, fog computing, machine learning, big data analytics, and data mining. She has more than 19 years of teaching, research, and administration experience. She is a member of the Association for Computing Machinery (ACM) and faculty sponsor for the ACM Students Chapter. She has numerous research papers to her credit published in reputed journals, conferences, as well as book chapters. She has two Indian and two international patents in her name. She is associated to several computer science journals. She has chaired various international conferences and is a reviewer for many national and international conferences and journals. A. V. Senthil Kumar, PhD, DSc, to his credit he has industrial experience of five years and teaching experience of 27 years. He has received his Doctor of Science (DSc in Computer Science). He has to his credit 33 book chapters, 220 papers in international and national journals 60 papers in international and national conferences, and edited 12 books (IGI Global, USA). He is as Associate Editor of IEEE Access. He is an Editor-in-Chief for many journals and a key member for Machine Intelligence Research Lab (MIR Labs), India. Professor Kumar is an editorial board member and reviewer for various international journals. He is also a committee member for various international conferences. He is a life member of the International Association of Engineers (IAENG) and Systems Society of India (SSI) and a member of The Indian Science Congress Association, Internet Society (ISOC), International Association of Computer Science and Information Technology (IACSIT), Indian Association for Research in Computing Science (IARCS), and committee member for various international conferences. Chitra Singh, PhD, has been working as a Professor in the Department of Chemistry Education and Environmental Education, National Council of Educational Research and Training (NCERT), Bhopal, Madhya Pradesh, India, for more than 22 years. Dr. Singh has published more than 40 papers in various journals, completed eight research projects, conducted 25 training programs, and developed 20 curriculum materials. Abdelmalek Amine, PhD, is a full Professor of Computer Science at the University of Saida Dr. Moulay Tahar, Algeria, where he also Director of the Knowledge Management and Complex Data Laboratory (GeCoDe Lab) andVice Rector of External Relations and Cooperation. His research interests include big data, IoT, data mining, text mining, ontology, classification, clustering, neural networks, and biomimetic optimization methods. He has several publications (articles, chapters, and edited books) in the field of AI. He has also been a participant in the program committees of several international conferences and on the editorial boards of eminent international journals.

Introduction 1. Predictive and Descriptive Analytics in Healthcare 2. Biomimetics and Mind-Machine Interface: The Human Brain as a Quantum Computer 3. The Inevitable Artificial Intelligence Revolution in Healthcare 4. Object Detection Approach for Pneumonia Detection Using X-Ray Images 5. Corona Tracker: An Application for Monitoring and Tracking Corona Disease 6. Investigation on Diagnosing Irregularities in Endodontic Applications Using Deep Learning Methods 7. Teknomo–Fernandez Kernelized Discriminant Analysis-Based Connectionist Deep Multilayer Perceptive Neural Learning for Human Activity Recognition 8. Transforming Healthcare with AI: An Adequate Method for Diabetes Prediction Using Machine Learning Techniques 9. A Survey on Artificial Intelligence and Machine Learning Approaches for Medical Data Authentication 10. Data-Driven Analytics for Healthcare: Artificial Intelligence and Machine Learning for Medical Diagnostics 11. M-Blockchain: A Futuristic Approach for Healthcare