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Container-Based Knowledge Graphs for Determining Entity Relations in Non-Narrative Text

机译:用于确定非叙事文本中实体关系的基于容器的知识图

摘要

A mechanism is provided in a data processing system comprising least one processor and at least one memory, the at least one memory comprising instructions executed by the at least one processor to cause the at least one processor to implement a clinical decision support system. The mechanism receives a plurality of patient electronic medical records (EMRs) for a patient from a plurality of different sources. For a portion of a patient EMR record of the plurality of patient EMRs, the mechanism detects entities and analyzes a document structure of the portion of the patient EMR to identify a hierarchical structure of the portion of the patient EMR. The mechanism generates a container representation of the portion of the patient EMR based on the hierarchical structure. The mechanism placing each of the one or more sentences within the container representation based on relative position within the hierarchical structure. The mechanism generates a knowledge graph using the detected entities and the container representation.
机译:在包括至少一个处理器和至少一个存储器的数据处理系统中提供了一种机制,该至少一个存储器包括由至少一个处理器执行以使至少一个处理器实现临床决策支持系统的指令。该机构从多个不同的来源接收患者的多个患者电子病历(EMR)。对于多个患者EMR的患者EMR记录的一部分,该机制检测实体并分析患者EMR的该部分的文档结构,以识别患者EMR的该部分的层次结构。该机制基于分层结构生成患者EMR部分的容器表示。该机制基于层次结构内的相对位置将一个或多个句子中的每一个放置在容器表示中。该机制使用检测到的实体和容器表示来生成知识图。

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