Vol. 3 No. 1 (2023): Journal of Machine Learning for Healthcare Decision Support
Articles

Machine Learning Approaches for Real-Time Monitoring of Patient Health

Dr. Mei Ling
Lecturer, AI Applications in Healthcare, Dragon University, Taipei, Taiwan
Cover

Published 17-04-2023

Keywords

  • Machine Learning,
  • Healthcare,
  • Real-time Monitoring,
  • Patient Health,
  • Data Analysis,
  • Predictive Modeling
  • ...More
    Less

How to Cite

[1]
Dr. Mei Ling, “Machine Learning Approaches for Real-Time Monitoring of Patient Health”, Journal of Machine Learning for Healthcare Decision Support, vol. 3, no. 1, pp. 18–28, Apr. 2023, Accessed: Jan. 22, 2025. [Online]. Available: https://medlines.uk/index.php/JMLHDS/article/view/9

Abstract

This paper evaluates machine learning techniques for real-time monitoring of patient health data in healthcare settings. The use of machine learning in healthcare has shown promising results in various applications, including disease prediction, risk assessment, and treatment optimization. Real-time monitoring of patient health data is crucial for early detection of health issues and timely intervention, which can significantly improve patient outcomes. This paper reviews and analyzes the effectiveness of machine learning approaches in real-time patient health monitoring, highlighting their strengths, limitations, and potential future directions. Ten keywords related to machine learning, healthcare, and real-time monitoring are identified and discussed.

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