Cape Breton University, Sydney, NS, Canada.
Center for Applied Intelligent Systems Research, Halmstad University, Sweden.
Stud Health Technol Inform. 2023 May 18;302:701-705. doi: 10.3233/SHTI230243.
Knowledge graphs have proven themselves as a robust tool in clinical applications to aid patient care and help identify treatments for new diseases. They have impacted many information retrieval systems in healthcare. In this study, we construct a disease knowledge graph using Neo4j (a knowledge graph tool) for a disease database to answer complex questions that are time-consuming and labour-intensive to be answered in the previous system. We demonstrate that new information can be inferred in a knowledge graph based on existing semantic relationships between the medical concepts and the ability to perform reasoning in the knowledge graph.
知识图谱已被证明是临床应用中的一种强大工具，可帮助患者护理并帮助确定新疾病的治疗方法。它们已经影响了医疗保健中的许多信息检索系统。在这项研究中，我们使用 Neo4j（一种知识图谱工具）为疾病数据库构建了一个疾病知识图谱，以回答在以前的系统中回答既耗时又费力的复杂问题。我们证明，可以根据医学概念之间的现有语义关系以及在知识图谱中进行推理的能力，从知识图谱中推断出新信息。
