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

Physician and Health Services Rating by Consumers (140) Decision Support for Health Professionals (1539) Clinical Communication, Electronic Consultation and Telehealth (758) Artificial Intelligence (2129) Generative Language Models Including ChatGPT (708)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66344, first published .
Revealing Patient Dissatisfaction With Health Care Resource Allocation in Multiple Dimensions Using Large Language Models and the International Classification of Diseases 11th Revision: Aspect-Based Sentiment Analysis

Revealing Patient Dissatisfaction With Health Care Resource Allocation in Multiple Dimensions Using Large Language Models and the International Classification of Diseases 11th Revision: Aspect-Based Sentiment Analysis

Revealing Patient Dissatisfaction With Health Care Resource Allocation in Multiple Dimensions Using Large Language Models and the International Classification of Diseases 11th Revision: Aspect-Based Sentiment Analysis

Authors of this article:

Jiaxuan Li1 Author Orcid Image ;   Yunchu Yang1 Author Orcid Image ;   Chao Mao1 Author Orcid Image ;   Patrick Cheong-Iao Pang1 Author Orcid Image ;   Quanjing Zhu2 Author Orcid Image ;   Dejian Xu1 Author Orcid Image ;   Yapeng Wang1 Author Orcid Image
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