Title:
SYSTEM AND METHOD FOR AUTOMATED ADVERSE EVENT IDENTIFICATION
Document Type and Number:
WIPO Patent Application WO/2023/197305
Kind Code:
A1
Abstract:
Methods, systems, and apparatus for identifying an adverse event. In one aspect, a method includes obtaining first patient data; applying a machine learning model to the first patient data to identify information indicative of a first adverse event in the first patient data, in which the machine learning model is configured to: identify one or more named entities present in the first patient data; identify information indicative of the first adverse event based on the identified named entities; and output annotated patient data; obtaining feedback data on the annotated patient data, in which the feedback data is usable to refine the machine learning model; applying the refined machine learning model to second patient data to identify information indicative of a second adverse event in the second patient data; and providing information indicative of the second adverse events identified in the second patient data.
Inventors:
JIN HUI (US)
YAO DAOZHOU (US)
HE YUBO (US)
CHEN LEI (US)
SUN HUIYING (US)
LIAO YUAN (US)
LI ZHENXING (US)
WANG YUE (US)
YAO DAOZHOU (US)
HE YUBO (US)
CHEN LEI (US)
SUN HUIYING (US)
LIAO YUAN (US)
LI ZHENXING (US)
WANG YUE (US)
Application Number:
PCT/CN2022/087131
Publication Date:
October 19, 2023
Filing Date:
April 15, 2022
Export Citation:
Assignee:
IQVIA INC (US)
JIN HUI (US)
JIN HUI (US)
International Classes:
G16H50/20
Foreign References:
| US20200005941A1 | 2020-01-02 | |||
| CN108062978A | 2018-05-22 | |||
| US20200388386A1 | 2020-12-10 |
Attorney, Agent or Firm:
LINDA LIU & PARTNERS (CN)
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