Patent ID: 11915505
Assignee: OPTUM TECHNOLOGY, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 14:
15. A non-transitory computer storage medium comprising instructions for generating a subset of related document objects for a predictive entity, the instructions being configured to cause one or more processors to at least perform operations configured to:
identify a set of entity metadata features associated with the predictive entity;
generate, using an entity-document correlation machine learning model and based at least in part on the set of entity metadata features, the set of related document objects for the predictive entity, wherein (i) the entity-document correlation machine learning model is generated at least in part using a set of inferred annotative relationships between a set of input index documents and a set of inferred reference documents, (ii) an inferred annotative relationship of the set of inferred annotative relationships is associated with a corresponding input index document of the set of input index documents, and (iii) the inferred annotative relationship of the set of inferred annotative relationships describes a related reference document subset of the set of inferred reference documents for the corresponding input index document that is associated with the inferred annotative relationship; and
initiate the performance of one or more prediction-based actions based at least in part on the set of related document objects.