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

Formative Evaluation of Non-Ehealth Innovations (209) AI Language Models in Health Care (224) Language Processing, Classifiers, and Syndrome Definitions (47) Ontologies, Classifications, and Coding (337) Research Instruments, Questionnaires, and Tools (764)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54803, first published .
Synthetic Data-Driven Approaches for Chinese Medical Abstract Sentence Classification: Computational Study

Synthetic Data-Driven Approaches for Chinese Medical Abstract Sentence Classification: Computational Study

Synthetic Data-Driven Approaches for Chinese Medical Abstract Sentence Classification: Computational Study

Authors of this article:

Jiajia Li1, 2, 3 Author Orcid Image ;   Zikai Wang1, 2, 4 Author Orcid Image ;   Longxuan Yu5 Author Orcid Image ;   Hui Liu6 Author Orcid Image ;   Haitao Song1, 2 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Rao H, Liu W, Wang H, Huang I, He Z, Huang X. A Scoping Review of Synthetic Data Generation by Language Models in Biomedical Research and Application: Data Utility and Quality Perspectives. Journal of Healthcare Informatics Research 2026 View