INTELLIGENT HEALTHCARE ANALYTICS USING IOT AND MACHINE LEARNING

International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

Abstract

The integration of IoT, machine learning, cloud computing, and wearable technologies provides new opportunities for intelligent healthcare. IoT devices can continuously collect patient data such as heart rate, blood pressure, temperature, and oxygen levels. Machine learning can analyze this data to detect abnormalities, predict health risks, and support clinical decisions. This paper proposes an IoT-based healthcare analytics framework consisting of sensing, communication, data processing, machine learning, and application layers. Algorithms such as Random Forest, SVM, XGBoost, and neural networks can be used for healthcare prediction and monitoring.

References

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Keywords

Internet of Things, Healthcare Analytics, Machine Learning, Artificial Intelligence, Wearable Sensors, Remote Patient Monitoring, Predictive Analytics, IoT Healthcare, Data Science.