Invention Grant
- Patent Title: Identifying potential patient candidates for clinical trials
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Application No.: US15172217Application Date: 2016-06-03
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Publication No.: US10417240B2Publication Date: 2019-09-17
- Inventor: Patrick W. Fink , Kristin E. McNeil , Philip E. Parker , David B. Werts
- 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
- Agent Daniel C. Housley
- Main IPC: G06F16/951
- IPC: G06F16/951 ; G06F16/2457 ; G06F17/27 ; G16H10/60 ; G16H10/20 ; G06F17/28 ; G16H40/63

Abstract:
A computer system gleans data from patient records and clinical trial descriptions using NLP techniques. NLP annotation data is used to generate clinical trial feature vectors and patient feature vectors. Clinical trial feature vectors and patient feature vectors are compared to match appropriate patient candidates with clinical trial openings.
Public/Granted literature
- US20170351814A1 IDENTIFYING POTENTIAL PATIENT CANDIDATES FOR CLINICAL TRIALS Public/Granted day:2017-12-07
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