Patent ID: 11954602
Assignee: OPTUM, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 15:
16. A computer program product comprising a non-transitory computer-readable storage medium having computer-readable program code portions stored therein that, when executed by one or more processors, cause the one or more processors to:
receive a vocabulary data object associated with an input text data object for an entity, wherein:
(i) the vocabulary data object identifies (a) one or more tokenized terms and (b) a per-term numeric representation for each tokenized term,
(ii) the one or more tokenized terms are determined based at least in part on a cross-object frequency measure for a selected training term from one or more training text data objects, and
(iii) the input text data object comprises a medical note for the entity;
determine, based at least in part on the vocabulary data object, a per-input-entity tokenized representation for the input text data object, wherein:
(i) the input text data object comprises a plurality of input terms,
(ii) the plurality of input terms comprises one or more mapped input terms associated with one or more predetermined per-term numeric representations in the vocabulary data object, and
(iii) the per-input-entity tokenized representation comprises an ordered sequence of the one or more predetermined per-term numeric representations from the vocabulary data object that are associated with the one or more mapped input terms;
generate, using a hybrid-input predictive model, a prediction score for the entity based at least in part on (a) the per-input-entity tokenized representation and (b) an input structured data object associated with the entity;
generate, based at least in part on the prediction score satisfying a predictive threshold, a predictive output associated with the entity, wherein the predictive output comprises a medical prediction for the entity; and
initiate the performance of one or more prediction-based actions based at least in part on the predictive output.