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

Claim 15:
16. An apparatus comprising one or more processors and at least one memory including program code, the at least one memory and the program code configured to, with the one or more processors, cause the apparatus to at least:
determine, 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;
determine, 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;
generate 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;
generate 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;
generate, 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
initiate the performance of one or more prediction-based actions based at least in part on the projected periodic density change measure.