Invention Grant
- Patent Title: Cognitive framework to detect adverse events in free-form text
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Application No.: US15852340Application Date: 2017-12-22
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Publication No.: US10540438B2Publication Date: 2020-01-21
- Inventor: Meenakshi Nagarajan , Cartic Ramakrishnan , Sheng Hua Bao , Nakul Chakrapani
- 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: G06F17/27
- IPC: G06F17/27 ; G10L13/08 ; G06N20/00 ; G06F16/30 ; G06F16/95 ; G06Q10/06

Abstract:
Performing an operation comprising extracting, from an input comprising unstructured electronic text, a plurality of feature values for a plurality of features defined in a feature vector, identifying, based on a machine learning (ML) model applied to the plurality of feature values, a portion of the electronic text corresponding to an adverse event, and annotating the portion of the electronic text with an indication of the identified adverse event.
Public/Granted literature
- US20190197097A1 COGNITIVE FRAMEWORK TO DETECT ADVERSE EVENTS IN FREE-FORM TEXT Public/Granted day:2019-06-27
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