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

New Methods (944) Safety and Error Prevention in Health (202) Natural Language Processing (692)

Published on in Vol 23, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19064, first published .
Using Text Mining Techniques to Identify Health Care Providers With Patient Safety Problems: Exploratory Study

Using Text Mining Techniques to Identify Health Care Providers With Patient Safety Problems: Exploratory Study

Using Text Mining Techniques to Identify Health Care Providers With Patient Safety Problems: Exploratory Study

Authors of this article:

Iris Hendrickx1 Author Orcid Image ;   Tim Voets1 Author Orcid Image ;   Pieter van Dyk2 Author Orcid Image ;   Rudolf B Kool3 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

Iris Hendrickx   1 , MA, PhD ;   Tim Voets   1 , MA ;   Pieter van Dyk   2 , MSc, PhD ;   Rudolf B Kool   3 , MD, PhD

1 Centre for Language Studies, Centre for Language and Speech Technology, Faculty of Arts, Radboud University, Nijmegen, Netherlands

2 Dutch Health and Youth Care Inspectorate, Utrecht, Netherlands

3 IQ healthcare, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, Netherlands

Corresponding Author:

  • Iris Hendrickx, MA, PhD
  • Centre for Language Studies, Centre for Language and Speech Technology
  • Faculty of Arts
  • Radboud University
  • Erasmusplein 1
  • Nijmegen, 6525HT
  • Netherlands
  • Phone: 31 2436-15575
  • Email: i.hendrickx@let.ru.nl