Automatic knowledge-based feature extraction from electronic medial records

    公开(公告)号:GB2571473A

    公开(公告)日:2019-08-28

    申请号:GB201907907

    申请日:2017-11-03

    Applicant: IBM

    Abstract: A method, device, and computer program storage product for generating a query to extract clinical features into a set of electronic medical record (EMR) tables based on clinical knowledge. A knowledge tree is constructed according to a set of clinical knowledge data. An EMR graph corresponding to a set of EMR tables is obtained. The EMR graph comprises at set of table nodes and a set of attribute nodes. The set of table nodes and the set of attribute nodes represent a structure of each EMR table in the set of EMR tables and a reference relationship among attributes of set of EMR tables. A plurality of sub-queries is generated based on the knowledge tree and the EMR graph. At least one query is generated by combining the plurality of sub-queries according to the knowledge tree.

    Automatically generating a semantic mapping for a relational database

    公开(公告)号:GB2542053A

    公开(公告)日:2017-03-08

    申请号:GB201620782

    申请日:2015-05-27

    Applicant: IBM

    Abstract: Automatically generating a semantic mapping for a relational database RDB, comprising: obtaining a first semantic mapping from a first RDB to an ontology of linked data; obtaining a schema mapping from the first RDB to a second RDB; and generating a second semantic mapping from the second RDB to the ontology of the linked data based on the first semantic mapping and the schema mapping. Through this method and system, the efficiency of generating a semantic mapping for a relational database may be effectively improved.

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