Integrated Ensemble Learning for Remote Health Monitoring

This paper presents a novel approach to remote health monitoring by integrating ensemble learning techniques. The study focuses on combining predictions from multiple machine learning models to improve the accuracy and reliability of health monitoring systems.

Recommended citation: S.M. Hussain, Samiya Ali Zaidi, Afsah Hyder, Dr. M. Mobeen Movania. (2023). "Integrated Ensemble Learning for Remote Health Monitoring." 25th International Multitopic Conference (INMIC 23).
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