Using word evolution to predict drug repurposing

Preiss, J. orcid.org/0000-0002-2158-5832 (2024) Using word evolution to predict drug repurposing. BMC Medical Informatics and Decision Making, 24 (S2). 114. ISSN 1472-6947

Abstract

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Item Type: Article
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© 2024 The Author(s). Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

Keywords: Drug repurposing; Literature based discovery; Word evolution; Word embeddings; Deep learning
Dates:
  • Published: 30 April 2024
  • Published (online): 30 April 2024
  • Accepted: 28 March 2024
  • Submitted: 13 April 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 08 May 2024 08:50
Last Modified: 08 May 2024 08:50
Status: Published
Publisher: Springer Science and Business Media LLC
Refereed: Yes
Identification Number: 10.1186/s12911-024-02496-1
Open Archives Initiative ID (OAI ID):

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