A Review of IoT and Machine Learning Applications in Healthcare
Abstract
The convergence of IoT and machine learning technologies holds significant promise for revolutionizing healthcare delivery and outcomes. This paper provides a comprehensive review of IoT and machine learning applications in healthcare. It discusses various use cases such as remote patient monitoring, predictive analytics, and personalized medicine. The review highlights the benefits, challenges, and future directions of integrating these technologies in healthcare, emphasizing the need for robust data security and interoperability standards. Key advancements and current research trends are also identified, providing a roadmap for future developments in this rapidly evolving field.
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