- Patent Title: Targeted data retrieval and decision-tree-guided data evaluation
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Application No.: US17823584Application Date: 2022-08-31
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Publication No.: US11868902B2Publication Date: 2024-01-09
- Inventor: Ravi Narasimhan
- Applicant: Optum, Inc.
- Applicant Address: US MN Minnetonka
- Assignee: Optum, Inc.
- Current Assignee: Optum, Inc.
- Current Assignee Address: US MN Minnetonka
- Agency: Alston & Bird LLP
- Main IPC: G16H10/60
- IPC: G16H10/60 ; G06N5/01 ; G06N5/04 ; G16H50/20

Abstract:
There is a need for more effective and efficient data evaluation. This need can be addressed by, for example, techniques for data evaluation in accordance with a shared decision tree data object. In one example, a method includes generating, using a plurality of feature extraction threads, shared evidentiary data; generating, based on a selected shared evidentiary data subset of the shared evidentiary data that correspond to one or more selected nodes of the shared decision tree data object, refined evidentiary data; processing the refined evidentiary data in accordance with the shared decision tree data object to generate an evaluation output and an explanation output; and displaying an evaluation output user interface comprising user interface data describing the evaluation output and the explanation output.
Public/Granted literature
- US20230004818A1 TARGETED DATA RETRIEVAL AND DECISION-TREE-GUIDED DATA EVALUATION Public/Granted day:2023-01-05
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