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

Natural Language Processing (706) Artificial Intelligence (1421) Recruitment of Research Participants (305) Tools, Programs and Algorithms (275)

Published on in Vol 7, No 4 (2019): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15980, first published .
Cohort Selection for Clinical Trials From Longitudinal Patient Records: Text Mining Approach

Cohort Selection for Clinical Trials From Longitudinal Patient Records: Text Mining Approach

Cohort Selection for Clinical Trials From Longitudinal Patient Records: Text Mining Approach

Authors of this article:

Irena Spasic1 Author Orcid Image ;   Dominik Krzeminski2 Author Orcid Image ;   Padraig Corcoran1 Author Orcid Image ;   Alexander Balinsky3 Author Orcid Image
Article Authors Cited by (12) Tweetations (7) Metrics

Irena Spasic   1 , PhD ;   Dominik Krzeminski   2 , BSc ;   Padraig Corcoran   1 , PhD ;   Alexander Balinsky   3 , PhD

1 School of Computer Science & Informatics, Cardiff University, Cardiff, United Kingdom

2 School of Psychology, Cardiff University, Cardiff, United Kingdom

3 School of Mathematics, Cardiff University, Cardiff, United Kingdom

Corresponding Author:

  • Irena Spasic, PhD
  • School of Computer Science & Informatics
  • Cardiff University
  • 5 The Parade
  • Cardiff, CF24 3AA
  • United Kingdom
  • Phone: 44 02920870320
  • Email: spasici@cardiff.ac.uk