Using a Machine Learning Approach to Monitor COVID-19 Vaccine Adverse Events (VAE) from Twitter Data by Andrew T. Lian, Jingcheng Du, Lu Tang

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Leveraging machine learning-based approaches to assess human papillomavirus vaccination sentiment trends with Twitter data by Jingcheng Du, Jun Xu, Hsing-Yi Song, Cui Tao

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Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records by Qingyu Chen, Jingcheng Du, Sun Kim, W. John Wilbur, Zhiyong Lu

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Gene2vec: distributed representation of genes based on co-expression by Jingcheng Du, Peilin Jia, Yulin Dai, Cui Tao, Zhongming Zhao, Degui Zhi

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Characterization of the Differential Adverse Event Rates by Race/Ethnicity Groups for HPV Vaccine by Integrating Data From Different Sources by Jing Huang, Jingcheng Du, Rui Duan, Xinyuan Zhang, Cui Tao, Yong Chen

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Extracting psychiatric stressors for suicide from social media using deep learning by Jingcheng Du, Yaoyun Zhang, Jianhong Luo, Yuxi Jia, Qiang Wei, Cui Tao, Hua Xu

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A Bayesian Network to Predict the Risk of Post Influenza Vaccination Guillain-Barré Syndrome: Development and Validation Study by Yun Huang, Chongliang Luo, Ying Jiang, Jingcheng Du, Cui Tao, Yong Chen, Yuantao Hao

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A signal detection method for temporal variation of adverse effect with vaccine adverse event reporting system data by Yi Cai, Jingcheng Du, Jing Huang, Susan S. Ellenberg, Sean Hennessy, Cui Tao, Yong Chen

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Investigating safety profiles of human papillomavirus vaccine across group differences using VAERS data and MedDRA by Yuxi Jia, Cong Zhu, Jingcheng Du, Yang Xiang, Yong Chen, Wei Wang, Cui Tao

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A BERT-Based Generation Model to Transform Medical Texts to SQL Queries for Electronic Medical Records: Model Development and Validation by Youcheng Pan, Chenghao Wang, Baotian Hu, Yang Xiang, Xiaolong Wang, Qingcai Chen, Junjie Chen, Jingcheng Du

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Using Machine Learning–Based Approaches for the Detection and Classification of Human Papillomavirus Vaccine Misinformation: Infodemiology Study of Reddit Discussions by Jingcheng Du, Sharice Preston, Hanxiao Sun, Ross Shegog, Rachel Cunningham, Julie Boom, Lara Savas, Muhammad Amith, Cui Tao

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Comparability of clinical trials and spontaneous reporting data regarding COVID-19 vaccine safety by Chongliang Luo, Jingcheng Du, Adam Cuker, Ebbing Lautenbach, David A. Asch, Gregory A. Poland, Cui Tao, Yong Chen

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Comparing drug safety of hepatitis C therapies using post-market data by Jing Huang, Xinyuan Zhang, Jiayi Tong, Jingcheng Du, Rui Duan, Liu Yang, Jason H. Moore, Cui Tao, Yong Chen

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Mining on Alzheimer’s diseases related knowledge graph to identity potential AD-related semantic triples for drug repurposing by Yi Nian, Xinyue Hu, Rui Zhang, Jingna Feng, Jingcheng Du, Fang Li, Larry Bu, Yuji Zhang, Yong Chen, Cui Tao

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Explainable artificial intelligence and domain adaptation for predicting HIV infection with graph neural networks by Evan Yu, Jingcheng Du, Yang Xiang, Xinyue Hu, Jingna Feng, Xi Luo, John A. Schneider, Degui Zhi, Kayo Fujimoto, Cui Tao

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Machine learning models for abstract screening task - A systematic literature review application for health economics and outcome research by Jingcheng Du, Ekin Soysal, Dong Wang, Long He, Bin Lin, Jingqi Wang, Frank J. Manion, Yeran Li, Elise Wu, Lixia Yao

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Machine learning-based donor permission extraction from informed consent documents by Meng Zhang, Madhuri Sankaranarayanapillai, Jingcheng Du, Yang Xiang, Frank J. Manion, Marcelline R. Harris, Cooper Stansbury, Huy Anh Pham, Cui Tao

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Natural Language Processing–Powered Real-Time Monitoring Solution for Vaccine Sentiments and Hesitancy on Social Media: System Development and Validation by Liang-Chin Huang, Amanda L Eiden, Long He, Augustine Annan, Siwei Wang, Jingqi Wang, Frank J Manion, Xiaoyan Wang, Jingcheng Du, Lixia Yao

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Accelerating Evidence Synthesis in Observational Studies: Development of a Living Natural Language Processing–Assisted Intelligent Systematic Literature Review System by Frank J Manion, Jingcheng Du, Dong Wang, Long He, Bin Lin, Jingqi Wang, Siwei Wang, David Eckels, Jan Cervenka, Peter C Fiduccia, Nicole Cossrow, Lixia Yao

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Enhancing early detection of cognitive decline in the elderly: a comparative study utilizing large language models in clinical notesResearch in context by Xinsong Du, John Novoa-Laurentiev, Joseph M. Plasek, Ya-Wen Chuang, Liqin Wang, Gad A. Marshall, Stephanie K. Mueller, Frank Chang, Surabhi Datta, Hunki Paek, Bin Lin, Qiang Wei, Xiaoyan Wang, Jingqi Wang, Hao Ding, Frank J. Manion, Jingcheng Du, David W. Bates, Li Zhou

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