Invention Grant
- Patent Title: Cognitive systems for allocating medical data access permissions using historical correlations
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Application No.: US15844869Application Date: 2017-12-18
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Publication No.: US10691827B2Publication Date: 2020-06-23
- Inventor: Iyanna Briscoe , Steven L. Harrington , Tyler N. King , Newton J. Piccone
- 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: Cantor Colburn LLP
- Agent William Kinnaman
- Main IPC: G06F21/62
- IPC: G06F21/62 ; G16H50/70 ; G06N3/08 ; G06F21/60 ; G06F16/242 ; G06F40/20

Abstract:
Embodiments of the present invention provide a computer-implemented method for allocating medical data access permissions using historical correlations. The method receives a request for medical research data from a user. The method executes natural language processing to interpret the received request. The method generates a database query based on a trained model to identify a medical research data set that is responsive to the request. The method queries one or more medical databases using the generated query to identify the medical research data set that is responsive to the request. The medical research data set that is identified includes the requested medical research data as well as additional medical research data that, although not requested by the user, is found to be relevant to the request based on the trained model. The method includes transmitting the medical research data set to the user.
Public/Granted literature
- US20190188410A1 COGNITIVE SYSTEMS FOR ALLOCATING MEDICAL DATA ACCESS PERMISSIONS USING HISTORICAL CORRELATIONS Public/Granted day:2019-06-20
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