A human-computer collaborative intelligent health consultant interaction method and system

Abstract

The application discloses a man-machine collaborative intelligent health consultant interaction method and system, relates to the technical field of digital service in the medical and health field, and comprises the following steps: a multi-modal data acquisition channel is established, multi-source interaction data of a user is collected in real time, a hierarchical feature extraction network is designed to perform feature extraction, cross-modal attention weighting is performed on the extracted features by using a cross-modal attention fusion mechanism, a context representation vector is obtained, and the context representation vector is stored in a time sequence context buffer; by means of dynamic context perception and drift detection, subtle changes in the user interaction process are accurately captured, real-time personalized interaction of the user is realized, personalized and accurate services can be provided according to the real-time state and needs of the user, deep personalized experience is realized, the satisfaction of the user and the sales intensity of medical products are improved, a knowledge graph fusing knowledge in the medical domain, the business domain and the user behavior domain is used, and GNN reasoning paths are used to realize intelligent cross-domain reasoning.

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