Overview
- Focuses on the integration of IoT and Cloud Computing for Healthcare
- Presents state-of-art approaches and methodologies in analysis and diagnosis of the health
- Encompasses recent and advanced computationally intelligent and smart techniques
Part of the book series: Studies in Computational Intelligence (SCI, volume 1021)
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About this book
With rise of smart medical sensors, cloud computing and the health care technologies, “connected health” is getting remarkable consideration everywhere. Recently, the Internet of Things (IoT) has brought the vision of a smarter world into reality. Cloud computing fits well in this scenario as it can provide high quality of clinical experience. Thus an IoT-cloud convergence can play a vital role in healthcare by offering better insight of heterogeneous healthcare content supporting quality care. It can also support powerful processing and storage facilities of huge data to provide automated decision making. This book aims to report quality research on recent advances towards IoT-Cloud convergence for smart healthcare, more specifically to the state-of-the-art approaches, design, development and innovative use of those convergence methods for providing insights into healthcare service demands. Students, researchers, and medical experts in the field of information technology, medicine, cloud computing, soft computing technologies, IoT and the related fields can benefit from this handbook in handling real-time challenges in healthcare. Current books are limited to focus either on soft computing algorithms or smart healthcare. Integration of smart and cloud computing models in healthcare resulting in connected health is explored in detail in this book.
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Keywords
Table of contents (22 chapters)
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Front Matter
Editors and Affiliations
Bibliographic Information
Book Title: Connected e-Health
Book Subtitle: Integrated IoT and Cloud Computing
Editors: Sushruta Mishra, Alfonso González-Briones, Akash Kumar Bhoi, Pradeep Kumar Mallick, Juan M. Corchado
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-97929-4
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-97928-7Published: 07 May 2022
Softcover ISBN: 978-3-030-97931-7Published: 08 May 2023
eBook ISBN: 978-3-030-97929-4Published: 05 May 2022
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: IX, 492
Number of Illustrations: 45 b/w illustrations, 147 illustrations in colour
Topics: Computational Intelligence, Cyber-physical systems, IoT, Biomedical Engineering and Bioengineering, Health Informatics