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

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.

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. 98-101

doi.org/10.47001/IRJIET/2025.904014

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