SYSTEM AND METHOD FOR AUTOMATED ADVERSE EVENT IDENTIFICATION

    公开(公告)号:US20230335232A1

    公开(公告)日:2023-10-19

    申请号:US17789345

    申请日:2022-04-15

    Applicant: IQVIA Inc.

    CPC classification number: G16H10/20 G16H10/60 G16H15/00

    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.

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