Patent ID: 11899694
Assignee: UNITEDHEALTH GROUP INCORPORATED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method comprising:
determining, by one or more processors and based at least in part on one or more prevalence-based density features for a primary local-temporal pair data object and one or more growth-based density features for the primary local-temporal pair data object, a predictive profile for the primary local-temporal pair data object, wherein the primary local-temporal pair data object is associated with a primary locality data object and a primary temporal unit data object;
determining, by the one or more processors and based at least in part on the predictive profile, one or more predictive profile local-temporal pair data objects for the primary local-temporal pair data object, wherein the one or more predictive profile local-temporal pair data objects have one or more control policy temporal offsets and a same predictive profile as the primary local-temporal pair data object;
generating, by the one or more processors, a prevalence-based density modeling data object, where the prevalence-based density modeling data object relates one or more predictive profile current periodic density measures for one or more predictive profile local-temporal pair data objects of the one or more predictive profile local-temporal pair data objects to one or more predictive profile periodic density change measures for the one or more predictive profile local-temporal pair data objects;
generating, by the one or more processors, a growth-based density modeling data object, where the growth-based density modeling data object relates one or more predictive profile periodic density growth rate measures for one or more predictive profile local-temporal pair data objects of the one or more predictive profile local-temporal pair data objects to one or more predictive profile periodic density change measures for the one or more predictive profile local-temporal pair data objects;
generating, by the one or more processors and based at least in part on the prevalence-based density modeling data object and the growth-based density modeling data object, a projected periodic density change measure for the primary local-temporal pair data object; and
initiating, by the one or more processors, the performance of one or more prediction-based actions based at least in part on the projected periodic density change measure.