This invention describes a software system that builds a structured knowledge base for medical conditions. It works by taking medical guidelines or statements written in plain language, identifying specific patient characteristics mentioned, and noting how strongly those recommendations are graded. The system then assigns importance scores (weights) to these patient characteristics, not just based on the guideline's grading, but also by checking how frequently those characteristics appear in other medical literature, which can then be used by an AI system for medical tasks.
Why it matters: Filed before the widespread adoption of advanced Large Language Models (LLMs), which can now significantly enhance the parsing of natural language medical statements and the construction of the knowledge data structure. The 'cognitive system' aspect is also more readily implementable with current AI capabilities.
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