Published on in Vol 6 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70751, first published .
Using Natural Language Processing to Identify Symptomatic Adverse Events in Pediatric Oncology: Tutorial for Clinician Researchers

Using Natural Language Processing to Identify Symptomatic Adverse Events in Pediatric Oncology: Tutorial for Clinician Researchers

Using Natural Language Processing to Identify Symptomatic Adverse Events in Pediatric Oncology: Tutorial for Clinician Researchers

Clifton P Thornton   1, 2 * , PhD ;   Maryam Daniali   3 * , PhD ;   Lei Wang   3, 4 * , PhD ;   Spandana Makeneni   3 * , PhD ;   Allison Barz Leahy   5, 6 * , MD

1 Center for Pediatric Nursing Research & Evidence-Based Practice, Children's Hospital of Philadelphia, Philadelphia, PA, United States

2 School of Nursing, University of Pennsylvania, Philadelphia, PA, United States

3 Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, United States

4 College of Computing and Informatics, Drexel University, Philadelphia, PA, United States

5 Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States

6 Cancer Center, Children's Hospital of Philadelphia, Philadelphia, PA, United States

*all authors contributed equally

Corresponding Author:

  • Clifton P Thornton, PhD
  • Center for Pediatric Nursing Research & Evidence-Based Practice
  • Children's Hospital of Philadelphia
  • 734 Schuylkill Avenue
  • Philadelphia, PA 19104
  • United States
  • Phone: 1 2674266188
  • Email: Thorntonc3@chop.edu