Natural language processing to extract symptoms of severe mental illness from clinical text: the Clinical Record Interactive Search Comprehensive Data Extraction (CRIS-CODE) project.

Jackson, R.G., Patel, R., Jayatilleke, N. et al. (6 more authors) (2017) Natural language processing to extract symptoms of severe mental illness from clinical text: the Clinical Record Interactive Search Comprehensive Data Extraction (CRIS-CODE) project. BMJ Open, 7 (1). e012012.

Abstract

Metadata

Authors/Creators:
  • Jackson, R.G.
  • Patel, R.
  • Jayatilleke, N.
  • Kolliakou, A.
  • Ball, M.
  • Gorrell, G.
  • Roberts, A.
  • Dobson, R.J.
  • Stewart, R.
Copyright, Publisher and Additional Information: © 2017 The Author(s). This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http:// creativecommons.org/licenses/by/4.0/
Keywords: MENTAL HEALTH; Natural Language Processing; Serious Mental Illness; Symptomatology; clinical informatics
Dates:
  • Published: 17 January 2017
  • Accepted: 4 October 2016
  • Published (online): 17 January 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 14 Feb 2017 14:00
Last Modified: 14 Feb 2017 14:00
Published Version: http://doi.org/10.1136/bmjopen-2016-012012
Status: Published
Publisher: BMJ Publishing Group
Refereed: Yes
Identification Number: https://doi.org/10.1136/bmjopen-2016-012012
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