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Journal article

Automatic mining of symptom severity from psychiatric evaluation notes

Abstract:
Objectives: As electronic mental health records become more widely available, several approaches have been suggested to automatically extract information from free-text narrative aiming to support epidemiological research and clinical decision-making. In this paper we explore extraction of explicit mentions of symptom severity from initial psychiatric evaluation records. We use the data provided by the 2016 CGES N-GRID NLP Shared Task Track 2, which contains 541 records manua... Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1002/mpr.1602

Authors


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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Psychiatry
Role:
Author
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Institution:
University of Oxford
Division:
MSD
Department:
Psychiatry
Role:
Author
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Name:
Engineering and Physical Sciences Research Council
Grant:
NewMind NetworkPlus (CHK, AJN, AD, GN
Publisher:
John Wiley & Sons, Ltd
Journal:
International Journal of Methods in Psychiatric Research More from this journal
Volume:
27
Issue:
1
Article number:
e1602
Publication date:
2017-12-22
Acceptance date:
2017-11-24
DOI:
ISSN:
1557-0657
Keywords:
Pubs id:
pubs:797484
UUID:
uuid:f1cad205-37d0-49b3-a87f-614e348344f1
Local pid:
pubs:797484
Source identifiers:
797484
Deposit date:
2017-11-27

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