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Automatic knowledge-based feature extraction from electronic medical records
Automatic knowledge-based feature extraction from electronic medical records
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机译:从电子病历中自动提取基于知识的特征
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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.
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