Infectious disease early warning method and system based on medical knowledge graph

• Main Authors: SON SEUNG-WOOK, YANG GAOCHAO, HOU YONGSHENG
• Format: Patent
• Language: Chinese; English
• Published: 03.10.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS

The invention discloses an infectious disease early warning method and system based on a medical knowledge graph, and belongs to the technical field of medical information collection and big data application, and the method comprises the steps: constructing a medical knowledge graph, and constructing a complete medical knowledge graph through the collection, arrangement and classification of medical knowledge; an infectious disease prediction model is designed, a medical knowledge graph is used for analysis, related features are extracted, the infectious disease prediction model is established, and the infectious disease prediction model can predict occurrence and propagation trends of infectious diseases; the infectious disease early warning system applies the infectious disease prediction model to an actual scene to realize prediction and early warning of infectious diseases; comprising an infectious disease knowledge map module, a knowledge reasoning module and a man-machine interaction module. According t