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AI Analytics for Early Disease Detection by International Journal of Innovative Science and Research Technology is a document available to read on EtoBox.

The document discusses the integration of AI-driven predictive analytics into syndromic surveillance to enhance early detection of emerging infectious diseases in the United States. It highlights the advantages of using AI technologies, such as machine learning and natural language processing, to analyze large datasets for faster and more accurate outbreak identification. The review emphasizes the potential of AI to transform public health surveillance, improving national preparedness for infectious disease

Author
International Journal of Innovative Science and Research Technology
Language
EN