The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Sep. 17, 2024
Filed:
Feb. 09, 2022
Optum, Inc., Minnetonka, MN (US);
Nathan H. Funk, Elk River, MN (US);
Eric D. Tryon, Scandia, MN (US);
Amy L. Jensen, Brainerd, MN (US);
Sudheer Ponnala, Chandler, AZ (US);
M. P. S. Jagannadha Rao, Hyderabad, IN;
Raghav Bali, Delhi, IN;
Veera Raghavendra Chikka, Hyderabad, IN;
Subhadip Maji, Medinipur, IN;
Anudeep Srivatsav Appe, Warangal, IN;
Optum, Inc., Minnetonka, MN (US);
Abstract
There is a need for more accurate and more efficient natural language solutions with greater semantic intelligence. This need can be addressed, for example, by natural language processing techniques that utilize predictive entity scoring. In one example, a method includes determining an overall prevalence score for the input entity data object with respect to a scored document corpus and a target section; determining a qualified prevalence score for the input entity data object with respect to a high-scoring subset of the scored document corpus; processing the input entity data object using an entity scoring machine learning model to generate the predicted entity score, wherein the entity scoring machine learning model may characterized by a plurality of multiplicative hyper-parameters and one or more additive hyper-parameters; and performing one or more prediction-based actions based at least in part on the predicted entity score.