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Automatic knowledge-based feature extraction from electronic medical records

机译:从电子病历中自动提取基于知识的特征

摘要

There is a problem with differences in the schema of an electronic medical record (EMR) data set. A knowledge tree is constructed according to a set of clinical knowledge data. An EMR graph corresponding to the set of EMR tables is obtained. The EMR graph includes a set of table nodes and a set of attribute nodes. The set of table nodes and the set of attribute nodes represent the structure of each EMR table in the set of EMR tables and the reference relationship between the attributes of the set of EMR tables. A plurality of subqueries are generated based on the knowledge tree and the EMR graph. At least one query is generated by combining a plurality of subqueries according to the knowledge tree. [Selection diagram] FIG.
机译:电子病历(EMR)数据集的架构存在差异。根据一组临床知识数据构建知识树。获得与该组EMR表相对应的EMR图。 EMR图包括一组表节点和一组属性节点。表节点集和属性节点集表示EMR表集中的每个EMR表的结构以及EMR表集的属性之间的引用关系。基于知识树和EMR图生成多个子查询。通过根据知识树组合多个子查询来生成至少一个查询。 [选择图]

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