Invention Grant
- Patent Title: Automatic knowledge-based feature extraction from electronic medical records
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Application No.: US16708562Application Date: 2019-12-10
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Publication No.: US11238961B2Publication Date: 2022-02-01
- Inventor: Bi Bo Hao , Gang Hu , Jing Li , Wen Sun , Guo Tong Xie , Yi Qin Yu
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Fleit Intellectual Property Law
- Agent Thomas S. Grzesik
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G16H10/60 ; G06F16/901 ; G06F16/903 ; H04L29/08 ; G16H50/30 ; G16H50/70

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.
Information query