Patent ID: 9104786
Filing Date: 2015-08-11
Classification: G06F

Abstract:
1. A method for defining a cohort comprised of multiple data objects, comprising: obtaining an initial cohort seeding; storing said initial cohort seeding in a memory; visualizing, using at least one hardware device, said initial cohort using a selected view to present a current cohort; reducing, using at least one hardware device, said current cohort using one or more visual filters; visualizing, using at least one hardware device, said current cohort using a selected view; expanding, using at least one hardware device, said current cohort using one or more selected analytics using computational techniques to automatically identify additional objects for said current cohort based on one or more similarity input parameters obtained from a user, wherein said current cohort is expanded by a specified expansion factor to add additional objects to said current cohort that satisfy a similarity metric with respect to one or more existing objects in said current cohort, wherein said step of expanding said current cohort using one or more selected analytics further comprises the step of modifying said current cohort to produce a larger cohort by expanding one or more of the number of said objects in said cohort and the number of properties for the objects in said cohort; and determining whether said current cohort should be further modified using one or more of additional reductions and additional expansions.