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Patient similarity analytics are used to identify a group of EHR records for patients that are similar to a target patient. Cluster analytics are then applied to the set of similar records to produce several different similar patient cohorts. Users can then interactively refine these cohorts based on their expertise using the DICON visual analysis tool described in this paper. Statistics from the clinician-refined cohorts can be used to inform decisions.
