H-IoT for Asthma Anticipated Effects Prediction Using Machine Learning Algorithm

Asthma affects millions worldwide, presenting significant challenges in symptom prediction and management. The rapid advancement of Healthcare Internet of Things (H-IoT) technology has enabled continuous monitoring of physiological and environmental factors relevant to asthma. This paper presents an approach that leverages H-IoT data and machine learning (ML) algorithms to predict asthma related effects, allowing for timely intervention and management. Using real time physiological data, environmental metrics, and historical health records, we train predictive ML models to anticipate asthma episodes and exacerbations. Our results show high accuracy in episode prediction, demonstrating the potential of combining H-IoT and ML for improved asthma management.