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

Theme Issue 2025: Artificial Intelligence in Oncology (10) Tutorial (2) Children and Young People With Cancer, Pediatric Oncology (88) AI applications in genomics and pathology informatics, including generative AI (25) Artificial Intelligence (2295) Natural Language Processing (943)

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

Authors of this article:

Clifton P Thornton1, 2 Author Orcid Image ;   Maryam Daniali3 Author Orcid Image ;   Lei Wang3, 4 Author Orcid Image ;   Spandana Makeneni3 Author Orcid Image ;   Allison Barz Leahy5, 6 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Choudhary N, Kumar D, Jyoti T, Prajapati B, Kchaou M, Webster T, Faiyazuddin M. Precision Pediatric Cancer Nanomedicine: Advancing Personalized Nano Therapies to Reduce Non-Communicable Diseases Through AI-Driven 3D-Printed Drugs. International Journal of Nanomedicine 2026;Volume 21:1 View