Design and application of a clinical-oriented DDI knowledge graph
In order to improve the effectiveness and safety of clinical medication,this research comprehensively uses technologies such as knowledge structured extraction,knowledge storage and knowledge fusion to integrate multi-source heterogeneous preclinical pharmaceutical research data and constructs a drug-drug interaction(DDI)knowledge graph.The DDI knowledge graph supports knowledge inference based on ontology axioms and graph structure rules,and can assist in mining deep DDI relationships and infer potential DDI relationships that have not been confirmed by research.Based on Neo4j platform,a pharmaceutical knowledge graph application system was built to implement visual DDI associated knowledge query and DDI risk level early warning services,which can help doctors obtain DDI knowledge quickly,accurately and conveniently,and to provide effective data support for precise medication.The system can be integrated with a doctor's workstation,which is a technical exploration of the application of pharmaceutical knowledge graphs in clinical field.
Drug-drug interactionsKnowledge graphPharmaceutical dataAdverse drug reactions
万方数据
维普
