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

Theme Issue 2022: Health Natural Language Processing and Applications (CHIP) (27) Electronic Health Records (1282) Decision Support for Health Professionals (1492) Natural Language Processing (879) Clinical Information and Decision Making (1842)

Published on in Vol 10, No 9 (2022): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37812, first published .
Mining Severe Drug Hypersensitivity Reaction Cases in Pediatric Electronic Health Records: Methodology Development and Applications

Mining Severe Drug Hypersensitivity Reaction Cases in Pediatric Electronic Health Records: Methodology Development and Applications

Mining Severe Drug Hypersensitivity Reaction Cases in Pediatric Electronic Health Records: Methodology Development and Applications

Authors of this article:

Yuncui Yu1 Author Orcid Image ;   Qiuye Zhao2 Author Orcid Image ;   Wang Cao1 Author Orcid Image ;   Xiaochuan Wang1 Author Orcid Image ;   Yanming Li1 Author Orcid Image ;   Yuefeng Xie1 Author Orcid Image ;   Xiaoling Wang1 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Journals

  1. Marzouk N, Selim S, Elattar M, Mabrouk M, Mysara M. A comprehensive landscape of AI applications in broad-spectrum drug interaction prediction: a systematic review. Journal of Cheminformatics 2025;17(1) View