Federated Learning With Iot-Based Remote Patient Monitoring For Real-Time Chronic Disease Prediction

Federated Learning With Iot-Based Remote Patient Monitoring For Real-Time Chronic Disease Prediction

Chronic kidney disease (CKD) is a major health issue in the world, and there is a need to apply quick and accurate diagnosis methods to reduce chronic disease. The processing of any medical information is limited in the centralized location due to the significant latency, privacy concerns, and signal variability produced by wearable Internet-of-Things (IoT) devices. 

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Advanced AI and hypergraph-based analysis can help universities, healthcare organizations, and research centers uncover stronger collaboration opportunities. For U.S. institutions, these methods may support faster innovation, more effective research partnerships, and improved translation of discoveries into real-world applications.


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