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Research on Intelligent Question Answering System Based on Medical Knowledge Graph

With the development of artificial intelligence, smart medical systems play an increasingly important role. The traditional medical question answering system can only answer the preset questions. This paper introduces a model of intelligent question answering system based on knowledge graph. It analyzes how to construct a knowledge graph using the neo4j graph database, and uses convolutional neural network to semantically parse user questions. To a certain extent, the system has improved the understanding of user questions and can give better answers.