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Patent drawing for Text mining for large medical text datasets and corresponding medical text classification using informative feature selection
US 9,075,796 B2
Computing US 9,075,796 B2 Expired

Text mining for large medical text datasets and corresponding medical text classification using informative feature selection

This invention describes a system that analyzes medical case reports to find patterns, or "grammar rules," indicating a specific medical condition. It combines standard medical definitions with insights from medical experts to identify these patterns. Once established, these rules can be applied to new case reports to determine if they meet the condition, specifically focusing on identifying anaphylaxis caused by a flu vaccine from vaccine adverse event reports.

Why it matters: Filed before large language models (LLMs) and advanced deep learning revolutionized natural language processing. These technologies could now automate or significantly enhance the 'grammar rule' determination and 'feature selection' steps, which were more labor-intensive and less precise in 2012.

Status
ExpiredProtection ended and was never renewed
How hard to build
SpecializedSoftware logic, NLP, machine learning

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