This paper is in the following e-collection/theme issue:

Natural Language Processing (706) Computerized Provider Order Entry (CPOE) (23) Electronic Health Records (1068) Ontologies, Classifications, and Coding (243) Machine Learning (1501)

Published on in Vol 9, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24678, first published .
Extracting Drug Names and Associated Attributes From Discharge Summaries: Text Mining Study

Extracting Drug Names and Associated Attributes From Discharge Summaries: Text Mining Study

Extracting Drug Names and Associated Attributes From Discharge Summaries: Text Mining Study

Authors of this article:

Ghada Alfattni1, 2 Author Orcid Image ;   Maksim Belousov1 Author Orcid Image ;   Niels Peek3, 4, 5 Author Orcid Image ;   Goran Nenadic1, 5 Author Orcid Image
Article Authors Cited by (13) Tweetations (2) Metrics

Ghada Alfattni   1, 2 , BSc (Hons), MSc ;   Maksim Belousov   1 , BSc (Hons), PhD ;   Niels Peek   3, 4, 5 , PhD ;   Goran Nenadic   1, 5 , BSc (Hons), MSc, PhD

1 Department of Computer Science, University of Manchester, Manchester, United Kingdom

2 Department of Computer Science, Jamoum University College, Umm Al-Qura University, Makkah, Saudi Arabia

3 Centre for Health Informatics, Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom

4 National Institute of Health Research Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom

5 The Alan Turing Institute, Manchester, United Kingdom

Corresponding Author:

  • Ghada Alfattni, BSc (Hons), MSc
  • Department of Computer Science
  • University of Manchester
  • Oxford Road
  • Manchester
  • United Kingdom
  • Phone: 44 7478375084
  • Email: gafattni@uqu.edu.sa