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

Theme Issue 2025: Artificial Intelligence in Oncology (14) Natural Language Processing (1326) Tutorial (3) Children and Young People With Cancer, Pediatric Oncology (112) Artificial Intelligence (4973) AI applications in genomics and pathology informatics, including generative AI (46)

Published on in Vol 6 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70751, first published .
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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
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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
  2. Dimitri P. Artificial intelligence for child health: current capabilities and the next frontier. Archives of Disease in Childhood 2026:archdischild-2026-330388 View

Conference Proceedings

  1. Chhabra G, Rastogi A, Saxena V, Rajput G, Mehrotra T, Singh P. 2026 International Conference on Green Technologies and Sustainable Solutions (GTSS). Integrating Temporal Embeddings and Semantic Context for Robust Adverse Drug Event Detection View