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

Reviews in Medical Informatics (105) Natural Language Processing (866) Clinical Information and Decision Making (1802) mHealth in a Clinical Setting (716) Machine Learning (1952) Information Retrieval (338) Electronic Health Records (1267) Clinical Cancer Research (110) Health Services Research in Oncology (53)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68707, first published .
Performance of Natural Language Processing for Information Extraction From Electronic Health Records Within Cancer: Systematic Review

Performance of Natural Language Processing for Information Extraction From Electronic Health Records Within Cancer: Systematic Review

Performance of Natural Language Processing for Information Extraction From Electronic Health Records Within Cancer: Systematic Review

Authors of this article:

Simon Dahl1, 2 Author Orcid Image ;   Martin Bøgsted1, 2, 3 Author Orcid Image ;   Tomer Sagi4 Author Orcid Image ;   Charles Vesteghem1, 2, 3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Simon Dahl   1, 2 , MSc ;   Martin Bøgsted   1, 2, 3 , PhD ;   Tomer Sagi   4 , PhD ;   Charles Vesteghem   1, 2, 3 , PhD

1 Center for Clinical Data Science, Department of Clinical Medicine, Aalborg University, Gistrup, Denmark

2 Center for Clinical Data Science, Research, Education and Innovation, Aalborg University Hospital, Aalborg, Denmark

3 Clinical Cancer Research Centre, Department of Clinical Medicine, Aalborg University Hospital, Aalborg, Denmark

4 Department of Computer Science, Aalborg University, Aalborg, Denmark

Corresponding Author:

  • Simon Dahl, MSc
  • Center for Clinical Data Science
  • Department of Clinical Medicine, Aalborg University
  • Selma Lagerløfs Vej 249
  • Gistrup 9260
  • Denmark
  • Phone: +45 99407244
  • Email: scd@rn.dk