Construction of the Trauma Injury Knowledge Graph

As a leading threat to human health, trauma is the primary cause of death among individuals under 40, making its prevention and treatment undeniably important. To effectively prevent and treat trauma, it is crucial to deeply understand the patterns of trauma occurrence, key points of treatment, and the final rehabilitation status. Especially under the conditions of first - line treatment, rapid and accurate diagnosis and treatment of trauma are of vital significance for ensuring the life safety of the injured and promoting the recovery of injuries. However, the current field of trauma medicine faces issues such as information silos and insufficient level of intelligence. Therefore, this paper proposes to construct an injury knowledge graph by integrating multi - source heterogeneous data and combining medical logic, aiming to provide structured management and visual query of trauma medical knowledge, improve diagnostic efficiency and medical support capabilities, offer efficient knowledge query and reasoning capabilities, meet the needs of future intelligent on - site medical care, and provide a data basis for the recommendation of personalized treatment plans.