This workflow identifies outliers in medical claim data such as claims with an unusual high cost for a certain disease. Firstly, the input data is group by the target column (disease). Secondly, the interquartile range (IQR), i.e. the difference between the 3rd and 1st quartile, is computed for the numerical column in question (cost). Outliers are all records that do not lie inside the permitted interval IQR +/- k*IQR, where the factor k is specified by the analyst. The target and numerical columns can be defined in the configuration dialogs of the components. The lower branch of the workflow is a refinement of this approach and allows for identifying outliers across several target columns e.g. an unusual high/low duration of days staid for a certain disease and payment amount.
To use this workflow in KNIME, download it from the below URL and open it in KNIME:
Download WorkflowDeploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.
Try NodePit Runner!Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to mail@nodepit.com, follow @NodePit on Twitter or botsin.space/@nodepit on Mastodon.
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.