The invention relates to the technical field of
medical health information services, in particular to a cerebral apoplexy
knowledge question-answering
system construction method and
system based on a
knowledge graph and a large
language model.
Natural language input of a user is analyzed through a query agent, a query intention and constraint conditions are recognized, and a structured
execution plan is generated; a
user state management tool is forcibly activated, a static clinical portrait and a dynamic
rehabilitation log are loaded, and a personalized context is constructed; a plurality of tools such as
knowledge graph query, authoritative literature retrieval and
rehabilitation plan generation are scheduled, and accurate retrieval and reasoning of heterogeneous knowledge are completed; through double
verification of fact consistency and clinical risks, error or high-risk suggestions are intercepted and replaced with risk early warning. The problems of'illusion 'risk, insufficient individuation, poor
interpretability and the like of a traditional
single model are solved to a large extent, high-credibility, individuation and traceable
rehabilitation knowledge service can be provided for the
stroke patient and a caregiver of the
stroke patient, and rehabilitation safety and effect are guaranteed.