Yagmur Yigit
Machine Learning for Smart Healthcare Management Using IoT
Yigit, Yagmur; Duran, Kubra; Moradpoor, Naghmeh; Maglaras, Leandros; Van Huynh, Nguyen; Canberk, Berk
Authors
Kubra Duran
Dr Naghmeh Moradpoor N.Moradpoor@napier.ac.uk
Associate Professor
Leandros Maglaras
Nguyen Van Huynh
Prof Berk Canberk B.Canberk@napier.ac.uk
Professor
Abstract
This chapter explores the significant impact of Machine Learning (ML) and the Internet of Things (IoT) on smart healthcare management, marking a new era of innovation with enhanced patient care and health outcomes. The fusion of IoT devices for real-time health monitoring with ML algorithms enables personalized medical interventions by analyzing vast amounts of patient data for predictive diagnostics and tailored treatment plans. Furthermore, the integration includes digital twin technology for precise diagnoses and treatments and highlights blockchain’s role in safeguarding data integrity and privacy. Additionally, the chapter examines the broader applications of Artificial Intelligence (AI) in healthcare, such as advanced ML models and natural language processing, to improve healthcare processes and medical analysis. Despite the promising potential of ML and IoT in transforming healthcare, challenges like data security and the development of scalable, interoperable solutions remain. The chapter underscores the crucial influence of ML and IoT in advancing efficient, accessible, and sophisticated healthcare services.
Citation
Yigit, Y., Duran, K., Moradpoor, N., Maglaras, L., Van Huynh, N., & Canberk, B. (2024). Machine Learning for Smart Healthcare Management Using IoT. In IoT and ML for Information Management: A Smart Healthcare Perspective (135-166). Springer. https://doi.org/10.1007/978-981-97-5624-7_4
Online Publication Date | Aug 27, 2024 |
---|---|
Publication Date | 2024 |
Deposit Date | Oct 30, 2023 |
Publicly Available Date | Aug 28, 2025 |
Publisher | Springer |
Pages | 135-166 |
Series Title | Studies in Computational Intelligence |
Series Number | 1169 |
Series ISSN | 1860-949X |
Book Title | IoT and ML for Information Management: A Smart Healthcare Perspective |
Chapter Number | 5 |
ISBN | 978-981-97-5623-0; 978-981-97-5626-1 |
DOI | https://doi.org/10.1007/978-981-97-5624-7_4 |
Keywords | Machine Learning, Smart Healthcare, IoT, Healthcare Management, Remote Healthcare Monitoring, Telemedicine Systems, Medical Big Data, Sensors, Data Privacy, Data Security, Personalized Healthcare |
Public URL | http://researchrepository.napier.ac.uk/Output/3226166 |
Contract Date | Oct 28, 2023 |
Files
This file is under embargo until Aug 28, 2025 due to copyright reasons.
Contact repository@napier.ac.uk to request a copy for personal use.
You might also like
Digital Twin Enriched Green Topology Discovery for Next Generation Core Networks
(2023)
Journal Article
T6CONF: Digital Twin Networking Framework for IPv6-Enabled Net-Zero Smart Cities
(2023)
Journal Article
Age of Twin (AoT): A New Digital Twin Qualifier for 6G Ecosystem
(2023)
Journal Article
6G-Enabled DTaaS (Digital Twin as a Service) for Decarbonized Cities
(2023)
Presentation / Conference Contribution
Digital Twin-Native AI-Driven Service Architecture for Industrial Networks
(2023)
Presentation / Conference Contribution
Downloadable Citations
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search