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

AI Language Models in Health Care (61) Artificial Intelligence (1421) Ontologies, Classifications, and Coding (243) Data Science (278) Clinical Informatics (1050) Generative Language Models Including ChatGPT (325) Tools, Programs and Algorithms (275) Machine Learning (1501)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60665, first published .
An Automatic and End-to-End System for Rare Disease Knowledge Graph Construction Based on Ontology-Enhanced Large Language Models: Development Study

An Automatic and End-to-End System for Rare Disease Knowledge Graph Construction Based on Ontology-Enhanced Large Language Models: Development Study

An Automatic and End-to-End System for Rare Disease Knowledge Graph Construction Based on Ontology-Enhanced Large Language Models: Development Study

Authors of this article:

Lang Cao1 Author Orcid Image ;   Jimeng Sun1 Author Orcid Image ;   Adam Cross2 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Lang Cao   1 , MS ;   Jimeng Sun   1 , PhD ;   Adam Cross   2 , MD

1 Department of Computer Science, University of Illinois Urbana-Champaign, Urbana, IL, United States

2 Department of Pediatrics, University of Illinois College of Medicine Peoria, Peoria, IL, United States

Corresponding Author:

  • Adam Cross, MD
  • Department of Pediatrics
  • University of Illinois College of Medicine Peoria
  • 1 Illini Drive
  • Peoria, IL, 61605
  • United States
  • Phone: 1 309-671-3000
  • Email: arcross@uic.edu