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Advocating the potential of AI for syndrome discovery: a scoping review
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An AI research paper on Advocating the potential of AI for syndrome discovery: a scoping review.
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Original abstract
This protocol describes a scoping review to map the landscape of artificial intelligence (AI) applications in syndrome discovery. Specifically, we aim to identify: 1. What AI techniques (e.g., natural language processing, machine learning, deep learning) have been used to detect or characterize syndromes (in the context of Syndromic Surveillance Systems); 2. which clinical data sources (e.g., EHR text, emergency departments data, primary care data) are leveraged.
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