Invention Grant
- Patent Title: Identifying knowledge gaps utilizing cognitive network meta-analysis
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Application No.: US16202889Application Date: 2018-11-28
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Publication No.: US11562257B2Publication Date: 2023-01-24
- Inventor: Richard J. Stevens , Fernando Jose Suarez Saiz , Eric W. Will , Adam Clark
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Patterson + Sheridan, LLP
- Main IPC: G06N5/02
- IPC: G06N5/02 ; G16H50/70 ; G16H20/00 ; G16B40/00 ; G16B50/00

Abstract:
Techniques for identifying missing evidence are provided. A plurality of documents, each comprising digitally encoded natural language text data, is received. The plurality of documents is processed to determine a plurality of pair-wise comparisons between a plurality of therapies, where each of the plurality of pair-wise comparisons indicate a relative efficacy of at least one therapy in the plurality of therapies, as compared to at least one other therapy in the plurality of therapies. A knowledge graph is generated based at least in part on aggregating the plurality of pair-wise comparisons, and the knowledge graph is analyzed to identify one or more knowledge gaps within the knowledge graph. Finally, at least an indication of the identified one or more knowledge gaps is output.
Public/Granted literature
- US20200167664A1 IDENTIFYING KNOWLEDGE GAPS UTILIZING COGNITIVE NETWORK META-ANALYSIS Public/Granted day:2020-05-28
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