Connected e-Health Integrated IoT and Cloud Computing

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...

Full description

Bibliographic Details
Other Authors: Mishra, Sushruta (Editor), González-Briones, Alfonso (Editor), Bhoi, Akash Kumar (Editor), Mallick, Pradeep Kumar (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2022, 2022
Edition:1st ed. 2022
Series:Studies in Computational Intelligence
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
LEADER 03095nmm a2200385 u 4500
001 EB002015616
003 EBX01000000000000001178515
005 00000000000000.0
007 cr|||||||||||||||||||||
008 220613 ||| eng
020 |a 9783030979294 
100 1 |a Mishra, Sushruta  |e [editor] 
245 0 0 |a Connected e-Health  |h Elektronische Ressource  |b Integrated IoT and Cloud Computing  |c edited by Sushruta Mishra, Alfonso González-Briones, Akash Kumar Bhoi, Pradeep Kumar Mallick, Juan M. Corchado 
250 |a 1st ed. 2022 
260 |a Cham  |b Springer International Publishing  |c 2022, 2022 
300 |a IX, 492 p. 192 illus., 147 illus. in color  |b online resource 
505 0 |a Integration of Cloud and IoT for smart e-healthcare -- Integration of Medical Internet of Things with Big Data in Healthcare Industry -- Decrypting the Black Boxing of Artificial Intelligence Using Explainable Artificial Intelligence in Smart Healthcare 
653 |a Health Informatics 
653 |a Biomedical engineering 
653 |a Computational intelligence 
653 |a Medical informatics 
653 |a Computational Intelligence 
653 |a Biomedical Engineering and Bioengineering 
653 |a Cyber-Physical Systems 
653 |a Cooperating objects (Computer systems) 
700 1 |a González-Briones, Alfonso  |e [editor] 
700 1 |a Bhoi, Akash Kumar  |e [editor] 
700 1 |a Mallick, Pradeep Kumar  |e [editor] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
490 0 |a Studies in Computational Intelligence 
028 5 0 |a 10.1007/978-3-030-97929-4 
856 4 0 |u https://doi.org/10.1007/978-3-030-97929-4?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 006.3 
520 |a 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