The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 01, 2022

Filed:

Dec. 10, 2019
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Bi Bo Hao, Beijing, CN;

Gang Hu, Beijing, CN;

Jing Li, Beijing, CN;

Wen Sun, Beijing, CN;

Guo Tong Xie, Beijing, CN;

Yi Qin Yu, Beijing, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G16H 10/60 (2018.01); G06F 16/901 (2019.01); G06F 16/903 (2019.01); H04L 29/08 (2006.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01);
U.S. Cl.
CPC ...
G16H 10/60 (2018.01); G06F 16/9017 (2019.01); G06F 16/9024 (2019.01); G06F 16/90335 (2019.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01); H04L 67/10 (2013.01); H04L 67/2833 (2013.01);
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.


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