Invention Grant
- Patent Title: Dynamic detection of cross-document associations
-
Application No.: US17821036Application Date: 2022-08-19
-
Publication No.: US12050650B2Publication Date: 2024-07-30
- Inventor: Swapna Sourav Rout , Sharlene L. Tan , Vamsi Bhandaru , Vineet Shukla , Akshaya D N , Kartik Chaudhary
- Applicant: Optum Technology, Inc.
- Applicant Address: US MN Eden Prairie
- Assignee: Optum Technology, Inc.
- Current Assignee: Optum Technology, Inc.
- Current Assignee Address: US MN Eden Prairie
- Agency: Alston & Bird LLP
- Main IPC: G06F16/93
- IPC: G06F16/93 ; G06F16/2457 ; G06N5/04 ; G06N20/00

Abstract:
Systems and methods are configured to generate a set of related document objects for a predictive entity and/or to generate an optimal document sequence for a set of related document objects. In one embodiment, a set of related document objects for a predictive entity is generated by processing entity metadata features associated with the predictive entity using an entity-document correlation machine learning model, and an optimal document sequence is generated for the set of related document objects by processing the set of related document objects using a document sequence optimization machine learning model.
Public/Granted literature
- US20220391451A1 DYNAMIC DETECTION OF CROSS-DOCUMENT ASSOCIATIONS Public/Granted day:2022-12-08
Information query