Intelligent Health Monitoring: Leveraging Machine Learning and Wearables for Chronic Disease Management and Prevention

Authors: Abhinav Balasubramanian

DOI: https://doi.org/10.5281/zenodo.14535443

Short DOI: https://doi.org/g8wjnw

Country: USA

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Abstract: Chronic diseases such as diabetes and hypertension pose a significant global health challenge, accounting for a substantial portion of morbidity and healthcare costs. The advent of wearable devices has enabled continuous monitoring of vital signs, offering a transformative opportunity for early detection and prevention. This study proposes a machine learning framework designed to analyze wearable device data - such as heart rate variability, activity levels, and sleep patterns - for the early detection of chronic conditions. The framework incorporates supervised learning models, including support vector machines and decision trees, to identify risk patterns in time-series data.
To complement early detection, the framework integrates a personalized recommendation engine that promotes healthy habits based on user activity data. By offering tailored suggestions for lifestyle changes, the recommendation engine aims to mitigate risk factors and enhance long-term health outcomes. A comprehensive evaluation framework is proposed to assess detection accuracy through metrics such as sensitivity, specificity, and AUC-ROC scores, while also evaluating the impact of the recommendation engine through user engagement and behavioral change metrics. Case studies illustrate how the framework can be applied to chronic disease prevention and health monitoring scenarios.
This dual approach of early detection and preventive recommendations underscores the potential of wearable technologies and machine learning in transforming chronic disease management. By proposing an evaluation methodology and demonstrating its application through case studies, this study provides a foundation for advancing proactive health monitoring systems.

Keywords: Artificial Intelligence (AI), Smart Health Systems, Chronic Disease Management, Personalized Healthcare, Wearable Analytics, Recommendation Engine, Time-Series Analysis.

Paper Id: 231867

Published On: 2019-12-04

Published In: Volume 7, Issue 6, November-December 2019

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