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

Innovations in Cancer Diagnostic and Decision Support (113) Natural Language Processing (924) Clinical Informatics (1339) Clinical Information and Decision Making (1938) Electronic Health Records (1331)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72005, first published .
Cancer Diagnosis Categorization in Electronic Health Records Using Large Language Models and BioBERT: Model Performance Evaluation Study

Cancer Diagnosis Categorization in Electronic Health Records Using Large Language Models and BioBERT: Model Performance Evaluation Study

Cancer Diagnosis Categorization in Electronic Health Records Using Large Language Models and BioBERT: Model Performance Evaluation Study

Authors of this article:

Soheil Hashtarkhani1 Author Orcid Image ;   Rezaur Rashid1 Author Orcid Image ;   Christopher L Brett2 Author Orcid Image ;   Lokesh Chinthala1 Author Orcid Image ;   Fekede Asefa Kumsa1 Author Orcid Image ;   Janet A Zink1 Author Orcid Image ;   Robert L Davis1 Author Orcid Image ;   David L Schwartz1, 3 Author Orcid Image ;   Arash Shaban-Nejad1 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Soheil Hashtarkhani   1 , PhD ;   Rezaur Rashid   1 , PhD ;   Christopher L Brett   2 , MD ;   Lokesh Chinthala   1 , MSc ;   Fekede Asefa Kumsa   1 , PhD ;   Janet A Zink   1 , PhD ;   Robert L Davis   1 , MPH, MD ;   David L Schwartz   1, 3 , MD ;   Arash Shaban-Nejad   1 , MPH, PhD

1 Center for Biomedical Informatics, Department of Pediatrics, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States

2 University of Tennessee Graduate School of Medicine, Knoxville, TN, United States

3 Departments of Radiation Oncology and Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States

Corresponding Author:

  • Arash Shaban-Nejad, MPH, PhD
  • Center for Biomedical Informatics, Department of Pediatrics
  • College of Medicine, University of Tennessee Health Science Center
  • 50 N Dunlap Street
  • Memphis, TN 38103
  • United States
  • Phone: 1 9012875836
  • Email: ashabann@uthsc.edu