International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

A Review of IOT-Enabled Smart Healthcare Systems with Machine Learning-Based Decision Support

Abstract

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.

Country : India

1 Er. Manpreet Singh2 Dr. Vijay Dhir

  1. Ph.D Scholar, Department of Computer Science Engineering & Technology, Sant Baba Bhag Singh University, Jalandhar, Punjab, India
  2. Professor, Department of Computer Science Engineering & Technology, Sant Baba Bhag Singh University, Jalandhar, Punjab, India

IRJIET, Volume 9, Issue 4, April 2025 pp. 106-109

doi.org/10.47001/IRJIET/2025.904016

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