Systems and methods for predictive data analytics

    公开(公告)号:US11688497B2

    公开(公告)日:2023-06-27

    申请号:US17897696

    申请日:2022-08-29

    CPC classification number: G16H10/60 G06Q40/08 G06Q50/22

    Abstract: A system includes a processor and memory providing instructions for execution by the processor. The instructions include, responsive to a request from a user device indicating a group type and a time frame, selecting a set of users based on the group type. The instructions include retrieving the user data and historical data from a database and identifying a set of new users during the time frame. The instructions include adding the set of new users to the set of users and generating synthetic historical data for the set of users. The instructions include, based on the synthetic historical data for each user, computing a likelihood of discontinuation of a drugs and computing a likelihood of initiation of a drug. The instructions include estimating, for the group type, an aggregated output based on the likelihoods of initiation and discontinuation. The instructions include displaying the aggregated output on the user device.

    Systems and methods for predictive data analytics

    公开(公告)号:US11430548B2

    公开(公告)日:2022-08-30

    申请号:US16988915

    申请日:2020-08-10

    Abstract: A system includes a processor and memory providing instructions for execution by the processor. The instructions include, responsive to a request from a user device indicating a group type and a time frame, selecting a set of users based on the group type. The instructions include retrieving the user data and historical data from a database and identifying a set of new users during the time frame. The instructions include adding the set of new users to the set of users and generating synthetic historical data for the set of users. The instructions include, based on the synthetic historical data for each user, computing a likelihood of discontinuation of a drugs and computing a likelihood of initiation of a drug. The instructions include estimating, for the group type, an aggregated output based on the likelihoods of initiation and discontinuation. The instructions include displaying the aggregated output on the user device.

    SYSTEMS AND METHODS FOR PREDICTIVE DATA ANALYTICS

    公开(公告)号:US20220415458A1

    公开(公告)日:2022-12-29

    申请号:US17897696

    申请日:2022-08-29

    Abstract: A system includes a processor and memory providing instructions for execution by the processor. The instructions include, responsive to a request from a user device indicating a group type and a time frame, selecting a set of users based on the group type. The instructions include retrieving the user data and historical data from a database and identifying a set of new users during the time frame. The instructions include adding the set of new users to the set of users and generating synthetic historical data for the set of users. The instructions include, based on the synthetic historical data for each user, computing a likelihood of discontinuation of a drugs and computing a likelihood of initiation of a drug. The instructions include estimating, for the group type, an aggregated output based on the likelihoods of initiation and discontinuation. The instructions include displaying the aggregated output on the user device.

    SYSTEMS AND METHODS FOR PREDICTIVE DATA ANALYTICS

    公开(公告)号:US20200372986A1

    公开(公告)日:2020-11-26

    申请号:US16988915

    申请日:2020-08-10

    Abstract: A system includes a processor and memory providing instructions for execution by the processor. The instructions include, responsive to a request from a user device indicating a group type and a time frame, selecting a set of users based on the group type. The instructions include retrieving the user data and historical data from a database and identifying a set of new users during the time frame. The instructions include adding the set of new users to the set of users and generating synthetic historical data for the set of users. The instructions include, based on the synthetic historical data for each user, computing a likelihood of discontinuation of a drugs and computing a likelihood of initiation of a drug. The instructions include estimating, for the group type, an aggregated output based on the likelihoods of initiation and discontinuation. The instructions include displaying the aggregated output on the user device.

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