Published on in Vol 25 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/46484, first published
.

Journals
- Almasoud A, Alshahrani H, Hassan A, Almalki N, Motwakel A. Modified Aquila Optimizer with Stacked Deep Learning-Based Sentiment Analysis of COVID-19 Tweets. Electronics 2023;12(19):4125 View
- Klein A, Banda J, Guo Y, Schmidt A, Xu D, Flores Amaro I, Rodriguez-Esteban R, Sarker A, Gonzalez-Hernandez G. Overview of the 8th Social Media Mining for Health Applications (#SMM4H) shared tasks at the AMIA 2023 Annual Symposium. Journal of the American Medical Informatics Association 2024;31(4):991 View
- Xie J, Zhang Z, Zeng S, Hilliard J, An G, Tang X, Jiang L, Yu Y, Wan X, Xu D. Leveraging Large Language Models for Infectious Disease Surveillance—Using a Web Service for Monitoring COVID-19 Patterns From Self-Reporting Tweets: Content Analysis. Journal of Medical Internet Research 2025;27:e63190 View
- Klein A, Kunatharaju S, Golder S, Levine L, Figueiredo J, Gonzalez-Hernandez G. Association Between COVID-19 During Pregnancy and Preterm Birth by Trimester of Infection: Retrospective Cohort Study Using Large-Scale Social Media Data. Journal of Medical Internet Research 2025;27:e66097 View
Books/Policy Documents
- Jiang Y, Qiu R, Zhang Y, Zhang P. Databases Theory and Applications. View
Conference Proceedings
- Jiang K, Bernard G. 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). The Ability of Pretrained Large Language Models in Understanding Health Concepts in Social Media Posts View
