Quantifying and filtering knowledge generated by literature based discovery

Preiss, J. and Stevenson, R.M. (2017) Quantifying and filtering knowledge generated by literature based discovery. BMC Medical Informatics and Decision Making, 18 (Suppl 7). 249. ISSN 1472-6947

Abstract

Metadata

Authors/Creators:
  • Preiss, J.
  • Stevenson, R.M.
Copyright, Publisher and Additional Information: © The Author(s). 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Keywords: data mining; literature based discovery in the biomedical domain; biomedical text
Dates:
  • Accepted: 16 March 2017
  • Published (online): 31 May 2017
  • Published: 31 May 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)EP/J008427/1
Depositing User: Symplectic Sheffield
Date Deposited: 29 Mar 2017 09:22
Last Modified: 26 Jun 2017 13:22
Published Version: https://doi.org/10.1186/s12859-017-1641-9
Status: Published
Publisher: BioMed Central
Refereed: Yes
Identification Number: https://doi.org/10.1186/s12859-017-1641-9

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