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This book includes high-quality research on various aspects of intelligent interactive multimedia technologies in healthcare services. The topics covered in the book focus on state-of-the-art approaches, methodologies, and systems in the design, development, deployment, and innovative use of multimedia systems, tools, and technologies in healthcare. The volume provides insights into smart healthcare service demands. It presents all information about multimedia uses in e-healthcare applications. The book also includes case studies and self-assessment problems for readers and future researchers. This book proves to be a valuable resource to know how AI can be an alternative tool for automated and intelligent analytics for e-healthcare applications.
Table des matières
Introduction about Multimedia and its Applications.- Smart Monitoring, Diagnosis and Predictive Evaluations (with tagging) for e-Healthcare.- Medical data, Image, Video Processing and Visualization (including recommendation) for Smart healthcare.- Innovative Information Services by Smart Multimedia System for Senior citizens and Disable Peoples.- Innovative Services using Big Data Analytics in Smart Healthcare.- Smart Patient Care by Intelligent Systems: Patient Condition Screening, Visualization and Monitoring with Multimedia Technology.- Intelligent Multimedia Interactive Systems for Industry based Healthcare System.- Security, Privacy of Smart Healthcare Systems: From Industry 4.0's Perspective.
A propos de l'auteur
Amit Kumar Tyagi is Assistant Professor (Senior Grade) and Senior Researcher at Vellore Institute of Technology (VIT), Chennai, India. He received his Ph.D. Degree from Pondicherry Central University, India. He is a member of the IEEE society. His current research focuses on machine learning with big data, blockchain technology, data science, cyber-physical systems, smart & secure computing, and privacy. He has contributed to several projects such as "AARIN" and "P3-Block" to address some of the open issues related to the privacy breaches in vehicular applications (such as parking) and medical cyber-physical systems.
Ajith Abraham is the Director of Machine Intelligence Research Labs (MIR Labs), a Not-for-Profit Scientific Network for Innovation and Research Excellence connecting industry and academia. He received his Ph.D. Degree in Computer Science from Monash University, Melbourne, Australia. As an Investigator and Co-Investigator, he has won research grants worth over 100+ Million US$ from Australia, the USA, EU, Italy, Czech Republic, France, Malaysia, and China. His research focuses on real-world problems in the fields of machine intelligence, cyber-physical systems, Internet of things, network security, sensor networks, Web intelligence, Web services, and data mining. He is the Chair of the IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing. He is the editor-in-chief of Engineering Applications of Artificial Intelligence and serves on the editorial board of several International Journals.
Arturas Kaklauskas is a Professor at Vilnius Gediminas Technical University, Lithuania. His areas of interest include affective computing, neuro-marketing, intelligent tutoring systems, effective intelligent tutoring systems, massive open online courses (MOOCS), affective Internet of Things (IoT), smartly built environment, intelligent event prediction, opinion mining, intelligent decision support systems, life cycle analyses of built environments, energy, climate change, resilience management, healthy houses, sustainable built environments, big data and text analytics, intelligent library, and IoT. He is the Editor in Chief of the Journal of Civil Engineering and Management, Editor of Engineering Applications of Artificial Intelligence, and Associate Editor of the Ecological Indicators Journal. He has published 09 books. The Belarusian State Technological University (Minsk, Belarus) has awarded him an Honorary Doctorate.
