Intelligent Medical Knowledge Robot Based on Knowledge Graph

Abstract Artificial intelligence has been gradually integrated into life, and knowledge graph is also particularly important, its application maturing. In recent years researchers have used the rich entity relationship information in to overcome many difficulties. Through fusion, reasoning, deep learning of large-scale graphs, graphs link apply these memories generate wisdom. It can be said that become infrastructure era artificial intelligence. The article combines Neo4j with ECharts visualization develop a visual question answering robot medical field. This uses more scientific method understand present data, provides humanized robot. And finally shows effect as well assists users analysis specific diseases.