Enhancing Chronic Disease Management with IoT and Deep Learning: A Case Study on Diabetes
Abstract
Managing chronic diseases such as diabetes requires continuous monitoring and timely interventions. This paper investigates the role of IoT and deep learning in enhancing chronic disease management, with a focus on diabetes. We present an IoT-based system that collects real-time health data from wearable devices and uses deep learning algorithms to predict glucose levels and recommend personalized interventions. The system's performance is evaluated through a clinical trial involving diabetic patients, showing significant improvements in glucose control and patient outcomes. The paper also discusses the potential of extending the system to other chronic diseases and the challenges of large-scale deployment.
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