Automated domain-specific healthcare knowledge graph curation framework: Subarachnoid hemorrhage as phenotype
作者：
Highlights：
• A novel automated domain-specific knowledge graph curation framework.
• First attempt towards knowledge graph construction for subarachnoid hemorrhage stroke.
• Enables extraction of concepts, relations, individual & cohort graphs, and predictive knowledge.
• Uses ontology-based information extraction, ensemble learning and relation embedding techniques.
• Competitive results in most of the tasks of knowledge graph generation.
摘要
•A novel automated domain-specific knowledge graph curation framework.•First attempt towards knowledge graph construction for subarachnoid hemorrhage stroke.•Enables extraction of concepts, relations, individual & cohort graphs, and predictive knowledge.•Uses ontology-based information extraction, ensemble learning and relation embedding techniques.•Competitive results in most of the tasks of knowledge graph generation.
论文关键词：Knowledge Graph,Ontology,Electronic Health Records,Intracranial Aneurysm,Association Rules,Ensemble Learning,Subarachnoid Hemorrhage Stroke
论文评审过程：Received 2 September 2019, Revised 13 November 2019, Accepted 3 December 2019, Available online 11 December 2019, Version of Record 23 December 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.113120
