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-Based Real-Time Patient Monitoring Systems Using Machine Learning Algorithms

Er. Manpreet SinghPh.D Scholar, Department of Computer Science Engineering & Technology, Sant Baba Bhag Singh University, Jalandhar, Punjab, IndiaDr. Vijay DhirProfessor, Department of Computer Science Engineering & Technology, Sant Baba Bhag Singh University, Jalandhar, Punjab, India

Vol 9 No 4 (2025): Volume 9, Issue 4, April 2025 | Pages: 98-101

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 19-04-2025

doi Logo doi.org/10.47001/IRJIET/2025.904014

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Abstract

The integration of the Internet of Things (IoT) and machine learning (ML) has enabled the development of real-time patient monitoring systems that enhance healthcare delivery. These systems leverage IoT devices to collect continuous health data and ML algorithms to analyze and predict patient conditions in real-time. This review focusing on IoT-based real-time patient monitoring systems powered by ML. The findings highlight advancements in remote monitoring, predictive analytics, and decision support, emphasizing their potential to improve patient outcomes, reduce healthcare costs, and optimize resource allocation. Challenges such as data privacy, interoperability, and computational efficiency are also discussed, along with future research directions.

Keywords

IoT, Real-Time Patient, Patient Monitoring Systems, Machine Learning, Internet of Things, ML


Citation of this Article

Er. Manpreet Singh, & Dr. Vijay Dhir. (2025). A Review of IoT-Based Real-Time Patient Monitoring Systems Using Machine Learning Algorithms. International Research Journal of Innovations in Engineering and Technology - IRJIET, 9(4), 98-101. Article DOI https://doi.org/10.47001/IRJIET/2025.904014

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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