Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Vol 9 No 4 (2025): Volume 9, Issue 4, April 2025 | Pages: 106-109
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 19-04-2025
The integration of the Internet of Things (IoT) and machine learning (ML) has revolutionized the healthcare industry, enabling the development of smart healthcare systems that provide real-time monitoring, predictive analytics, and decision support. This review paper synthesizes recent advancements in IoT-enabled smart healthcare systems, focusing on the role of machine learning in enhancing decision-making processes. We explore key innovations, applications, challenges, and future directions in this domain. The findings highlight the transformative potential of IoT and ML in improving patient outcomes, reducing healthcare costs, and optimizing resource allocation. This review aims to guide researchers and practitioners in understanding the current landscape and identifying opportunities for further innovation in IoT-enabled smart healthcare systems.
Internet of Things, Machine learning, IoT, ML, AI, Artificial intelligence, Real-time monitoring, Smart Healthcare, Decision Support, healthcare industry
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