IoT and ML for Information Management: A Smart Healthcare Perspective

2024
ISBN: 978-981-97-5623-0
Verlag: Springer Nature Singapore

Buch, Englisch, Band 1169, 355 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 717 g

Reihe: Studies in Computational Intelligence

This book discusses the roles of the Internet of Things (IoT) and machine learning (ML) in smart health care, including the integration of cloud computing with IoT and ML for managing healthcare data. It presents the fundamentals and many applications of IoT and ML in different areas of smart health care. It deliberates upon security and privacy issues, including trust concerns about smart healthcare systems based on IoT and ML algorithms. This book is concluded by discussing challenges and future work directions in smart health care using IoT and ML, and it serves as a reference resource for researchers and practitioners in academia and industry.

Zielgruppe

Research

Autoren/Hrsg.

Namasudra, Suyel

Fachgebiete

• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung

Inhaltsverzeichnis

Introduction to Internet of Things.- Introduction to Machine Learning.- IoT and Machine Learning in Smart Healthcare.- Security, Privacy, and Trust Management of IoT and Machine Learning-based Smart Healthcare System.- Machine Learning for Smart Healthcare Management Using IoT.- e-Healthcare Data Management Using Machine Learning and IoT.- Machine Learning and IoT in Precision Healthcare.- Machine Learning and IoT in Health 4.0.- Smart Healthcare System by Using IoT and Machine Learning.- Predicting and Diagnosis of COVID-19 based on IoT and Machine Learning Algorithm.- Novel Scheme for Managing e-Healthcare Data Using IoT and Cloud Computing.- Lightweight Machine Learning-based Authentication Model for Smart Healthcare System.- Research Challenges and Future Work Directions inSmart Healthcare using IoT and Machine Learning.

Über Autor(innen)

Suyel Namasudra has received Ph.D. degree from the National Institute of Technology Silchar, Assam, India. He was a post-doctorate fellow at the International University of La Rioja (UNIR), Spain. Currently, he is working as an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Agartala, Tripura, India. Before joining the National Institute of Technology Agartala, he was an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Patna, Bihar, India. His research interests include blockchain technology, cloud computing, DNA computing, and information security.  He is the editor-in-chief of the Cloud Computing and Data Science (ISSN: 2737-4092 (online)) journal. He is a senior member of IEEE, and a member of ACM and IEI. He has been featured in the list of the top 2% scientists in the world in 2021, 2022, and 2023. His h-index is 37.