UID:
almahu_9949226757702882
Format:
XIV, 220 p. 72 illus., 56 illus. in color.
,
online resource.
Edition:
1st ed. 2022.
ISBN:
9789811653049
Series Statement:
Intelligent Systems Reference Library, 213
Content:
This edited book helps researchers and practitioners to understand e-health, m-healthcare architecture through IoT and the state of the art in IoT counter measures. This book provides a comprehensive discussion on a functional framework for IoT-based healthcare systems, intelligent medicine box, RFID technology, HMI, cognitive interpretation, BCI, remote health monitoring systems, wearable sensors, WBAN, healthcare analytics, machine learning (ML) techniques for IoT-enabled healthcare services, security and privacy issues in IoT-based healthcare monitoring systems. The book discusses integration of IoT with big data and cloud computing for solving several real-time problems by the use of smart healthcare applications. In these applications, the cloud computing provides a common workplace for IoT and big data, big data provides data analytics technology and IoT provides the source of data. It serves as a reference resource for researchers and practitioners in academia and industry.
Note:
Smart Healthcare Analytics in IoT enabled Environment: An overview -- Neuronal reconstitution effect of stem cell transplantation for smart healthcare after focal cerebral ischemia -- A Review of Cancer Detection and Prediction Based on Supervised and Unsupervised Learning Techniques -- Resource Management Challenges in IoT based healthcare system -- A Comprehensive and Analytical Study of Smart Healthcare with IoT -- Clinical Study on Itching Relief Caused by Dry Skin of Cosmetics Containing Ceramide NP and Guaiazulene in Smart Healthcare Products -- Study and Impact Analysis of Machine Learning Approaches for Smart Healthcare in Predicting Mellitus Diabetes on Clinical Data -- A Review of Flying Robot Applications in Healthcare -- Application of Deep Learning in Biomedical Informatics and Healthcare -- Integration of Machine Learning and IoT for Assisting Medical Experts in Brain Tumor Diagnosis -- The relationship between SNS fatigue, SNS immersion and social support recognized by SNS due to smart intelligence -- Factors Affecting Attitudes toward Death of Korean Nursing College Students; Including Spiritual Well-being for Smart healthcare -- Development of smart healthcare cosmetic ingredients using lactic acid fermented coffee -- Ranking of SARS-CoV-2 Vaccines with reference to India -- RFID based Patient Billing Automation Using Internet of Things (IoT).
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9789811653032
Additional Edition:
Printed edition: ISBN 9789811653056
Additional Edition:
Printed edition: ISBN 9789811653063
Language:
English
DOI:
10.1007/978-981-16-5304-9
URL:
https://doi.org/10.1007/978-981-16-5304-9
URL:
Volltext
(URL des Erstveröffentlichers)
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