I am trying to learn data science. The tool I have is Orange datamining tool. I have following data set related to patient health. With this data set I can create a dendrogram and find diagnosis that are occurring together. It was quite easy in Orange tool - just use hierarchical clustering technique.

But what techniques and models can be used to find diagnosis associated with high cost patients? Basically patients with what set of diagnosis can cause higher expenses?

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  • 1
    $\begingroup$ If you convert your patient-to-diagnosis data into a proper wide table (one column for each type of disease), you can maybe use Associate widget from the like-named Orange3 add-on. $\endgroup$
    – K3---rnc
    Jul 16, 2021 at 14:12


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