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This invention describes a computer system designed to understand and organize information from medical documents. It works by first analyzing the text to identify how words relate to each other, then extracting specific medical terms and their associated descriptions. Finally, it classifies these terms based on how they are used within the medical context, potentially using historical data and co-occurrence patterns, and presents the organized information.
Why it matters: Filed before advanced NLP and Large Language Models. These now simplify complex medical text analysis, term extraction, and classification, making the core functions more robust.
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