Personalized Healthcare Monitoring Through AR Wearables and Predictive Analytics Algorithms

Wearable Augmented Reality integrated with predictive analytics is revolutionizing the healthcare monitoring system innovative and individualized. This paper outlines a new paradigm integrating AR devices for capturing and, especially, showing user health statistics and using algorithms to predict health issues. The AR visualization integration with data analytics ensures that users can observe important signs such as pulse, blood oxygen, and activity in real-time. Some of them are device calibration, synchronized data, and the prophecy of the model that forms the framework's design to provide a sound professional health monitoring system. The users' data is submitted to the comprehensive predictive analytics algorithms to define certain patterns to create specific recommendations and ensure early health management. The performance analysis shows a high percentage of system accuracy, and the provided findings show its effectiveness during clinical application or everyday use. This approach reflects a major advancement in improving healthcare delivery by employing innovative wearable technology and data analysis.

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