INTERACTIVE SUBGROUP DISCOVERY
    2.
    发明申请

    公开(公告)号:US20230112063A1

    公开(公告)日:2023-04-13

    申请号:US17497852

    申请日:2021-10-08

    IPC分类号: G16H50/20 G16H50/70 G16H40/67

    摘要: Obtain covariates and an outcome data for a population. Partition the population into a plurality of subgroups. Produce outcomes predictions by applying a machine learning model to the covariate data for the population. Establish performance measures based on the outcomes predictions. Compare the performance measures for at least one subgroup to the performance measures for at least one other subgroup. Identify an outlying subgroup for which the machine learning model produces performance measures that are different than the performance measures for one or more other subgroups. Optionally, retrain the machine learning model on additional covariate and outcomes data for the outlying subgroup.

    Interactive pattern detection in data sets

    公开(公告)号:US10176607B2

    公开(公告)日:2019-01-08

    申请号:US15415215

    申请日:2017-01-25

    IPC分类号: G06F17/30 G06T11/20 G06T11/60

    摘要: The current invention relates to a system for manipulating data sets. More specifically, the current invention relates to an interactive system allowing an expert to seamlessly filter complex databases as a tool to evaluate hypotheses. When longitudinal data are concerned, the system allows the user to sketch a chart illustrating the trend of a variable of interest over time, and the system selects records from a database in which the sketched trend is present.