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Studies in Health Technology and Informatics|June 8, 2022
Understanding Public Perceptions of Measles from Twitter Using Multi-Task Convolutional Neural NetworksSamuel Wang, Jingcheng Du, Lu Tang, et al.Journal of Medical Internet Research|July 11, 2018
Public Perception Analysis of Tweets During the 2015 Measles Outbreak: Comparative Study Using Convolutional Neural Network ModelsJingcheng Du, Lu Tang, Yang Xiang, et al.Studies in Health Technology and Informatics|August 12, 2015
Trivalent Influenza Vaccine Adverse Event Analysis Based On MedDRA System Organ Classes Using VAERS DataCui Tao, Jingcheng Du, Yi Cai, et al.Vaccines|January 22, 2022
Using a Machine Learning Approach to Monitor COVID-19 Vaccine Adverse Events (VAE) from Twitter DataAndrew T Lian, Jingcheng Du, Lu TangBMC Medical Informatics and Decision Making|July 13, 2017
Leveraging machine learning-based approaches to assess human papillomavirus vaccination sentiment trends with Twitter dataJingcheng Du, Jun Xu, Hsing-Yi Song, et al.Health Informatics Journal|March 15, 2019
Exploring temporal suicidal behavior patterns on social media: Insight from Twitter analyticsJianhong Luo, Jingcheng Du, Cui Tao, et al.Journal of Biomedical Semantics|March 4, 2017
Optimization on machine learning based approaches for sentiment analysis on HPV vaccines related tweetsJingcheng Du, Jun Xu, Hsingyi Song, et al.Studies in Health Technology and Informatics|January 4, 2018
Comparing the Human Papillomavirus Vaccination Opinions Trends from Different Twitter User Groups with a Machine Learning Based System and Semiparametric Nonlinear RegressionJingcheng Du, Jing Huang, Rui Duan, et al.Biomedical Informatics Insights|May 5, 2017
Analysis of Individual Differences in Vaccine Pharmacovigilance Using VAERS Data and MedDRA System Organ Classes: A Use Case Study With Trivalent Influenza VaccineJingcheng Du, Yi Cai, Yong Chen, et al.Journal of the American Medical Informatics Association : JAMIA|June 25, 2019
ML-Net: multi-label classification of biomedical texts with deep neural networksJingcheng Du, Qingyu Chen, Yifan Peng, et al.Pageof 122