Search Results - "Du, Jingcheng"

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

“…Existing functional description of genes are categorical, discrete, and mostly through manual process. In this work, we explore the idea of gene embedding,…”
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Deep learning in clinical natural language processing: a methodical review by Wu, Stephen, Roberts, Kirk, Datta, Surabhi, Du, Jingcheng, Ji, Zongcheng, Si, Yuqi, Soni, Sarvesh, Wang, Qiong, Wei, Qiang, Xiang, Yang, Zhao, Bo, Xu, Hua

“…This article methodically reviews the literature on deep learning (DL) for natural language processing (NLP) in the clinical domain, providing quantitative…”
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Extracting psychiatric stressors for suicide from social media using deep learning by Du, Jingcheng, Zhang, Yaoyun, Luo, Jianhong, Jia, Yuxi, Wei, Qiang, Tao, Cui, Xu, Hua

“…Suicide has been one of the leading causes of deaths in the United States. One major cause of suicide is psychiatric stressors. The detection of psychiatric…”
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Leveraging machine learning-based approaches to assess human papillomavirus vaccination sentiment trends with Twitter data by Du, Jingcheng, Xu, Jun, Song, Hsing-Yi, Tao, Cui

“…As one of the serious public health issues, vaccination refusal has been attracting more and more attention, especially for newly approved human papillomavirus…”
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Mining on Alzheimer’s diseases related knowledge graph to identity potential AD-related semantic triples for drug repurposing by Nian, Yi, Hu, Xinyue, Zhang, Rui, Feng, Jingna, Du, Jingcheng, Li, Fang, Bu, Larry, Zhang, Yuji, Chen, Yong, Tao, Cui

“…Abstract Background To date, there are no effective treatments for most neurodegenerative diseases. Knowledge graphs can provide comprehensive and semantic…”
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Exploring temporal suicidal behavior patterns on social media: Insight from Twitter analytics by Luo, Jianhong, Du, Jingcheng, Tao, Cui, Xu, Hua, Zhang, Yaoyun

“…A valid mechanism for suicide detection and intervention to a wider population online has not yet been fully established. With the increasing suicide rate, we…”
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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 Du, Jingcheng, Preston, Sharice, Sun, Hanxiao, Shegog, Ross, Cunningham, Rachel, Boom, Julie, Savas, Lara, Amith, Muhammad, Tao, Cui

“…Background The rapid growth of social media as an information channel has made it possible to quickly spread inaccurate or false vaccine information, thus…”
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Explainable artificial intelligence and domain adaptation for predicting HIV infection with graph neural networks by Yu, Evan, Du, Jingcheng, Xiang, Yang, Hu, Xinyue, Feng, Jingna, Luo, Xi, Schneider, John A, Zhi, Degui, Fujimoto, Kayo, Tao, Cui

“…Investigation of explainable deep learning methods for graph neural networks to predict HIV infections with social network information and performing domain…”
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Machine learning-based donor permission extraction from informed consent documents by Zhang, Meng, Sankaranarayanapillai, Madhuri, Du, Jingcheng, Xiang, Yang, Manion, Frank J, Harris, Marcelline R, Stansbury, Cooper, Pham, Huy Anh, Tao, Cui

“…With more clinical trials are offering optional participation in the collection of bio-specimens for biobanking comes the increasing complexity of requirements…”
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Using a Machine Learning Approach to Monitor COVID-19 Vaccine Adverse Events (VAE) from Twitter Data by Lian, Andrew T, Du, Jingcheng, Tang, Lu

“…Social media can be used to monitor the adverse effects of vaccines. The goal of this project is to develop a machine learning and natural language processing…”
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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 Chen, Qingyu, Du, Jingcheng, Kim, Sun, Wilbur, W John, Lu, Zhiyong

“…Capturing sentence semantics plays a vital role in a range of text mining applications. Despite continuous efforts on the development of related datasets and…”
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Machine learning models for abstract screening task - A systematic literature review application for health economics and outcome research by Du, Jingcheng, Soysal, Ekin, Wang, Dong, He, Long, Lin, Bin, Wang, Jingqi, Manion, Frank J, Li, Yeran, Wu, Elise, Yao, Lixia

“…Systematic literature reviews (SLRs) are critical for life-science research. However, the manual selection and retrieval of relevant publications can be a…”
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Comparability of clinical trials and spontaneous reporting data regarding COVID-19 vaccine safety by Luo, Chongliang, Du, Jingcheng, Cuker, Adam, Lautenbach, Ebbing, Asch, David A., Poland, Gregory A., Tao, Cui, Chen, Yong

“…Severe adverse events (AEs) after COVID-19 vaccination are not well studied in randomized controlled trials (RCTs) due to rarity and short follow-up. To…”
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On the evidence consistency of pharmacovigilance outcomes between Food and Drug Administration Adverse Event Reporting System and electronic medical record data for acute mania patients by Duan, Rui, Zhang, Xinyuan, Du, Jingcheng, Huang, Jing, Tao, Cui, Chen, Yong

“…Evaluation of premarketing drug safety in clinical trials is often limited, due to the relatively small sample size and short follow-up time. The data…”
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Dynamic Prognosis Prediction for Patients on DAPT After Drug-Eluting Stent Implantation: Model Development and Validation by Li, Fang, Rasmy, Laila, Xiang, Yang, Feng, Jingna, Abdelhameed, Ahmed, Hu, Xinyue, Sun, Zenan, Aguilar, David, Dhoble, Abhijeet, Du, Jingcheng, Wang, Qing, Niu, Shuteng, Dang, Yifang, Zhang, Xinyuan, Xie, Ziqian, Nian, Yi, He, JianPing, Zhou, Yujia, Li, Jianfu, Prosperi, Mattia, Bian, Jiang, Zhi, Degui, Tao, Cui

“…The rapid evolution of artificial intelligence (AI) in conjunction with recent updates in dual antiplatelet therapy (DAPT) management guidelines emphasizes the…”
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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 Huang, Jing, Du, Jingcheng, Duan, Rui, Zhang, Xinyuan, Tao, Cui, Chen, Yong

“…Data from the Vaccine Adverse Event Reporting System (VAERS) contain spontaneously reported adverse events (AEs) from the public. It has been a major data…”
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Comparing drug safety of hepatitis C therapies using post-market data by Huang, Jing, Zhang, Xinyuan, Tong, Jiayi, Du, Jingcheng, Duan, Rui, Yang, Liu, Moore, Jason H, Tao, Cui, Chen, Yong

“…Hepatitis C affects about 3 % of the world's population. In the United States, about 3.5 million have chronic hepatitis C, and it is the leading cause of liver…”
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Accelerating Evidence Synthesis in Observational Studies: Development of a Living Natural Language Processing-Assisted Intelligent Systematic Literature Review System by Manion, Frank J, Du, Jingcheng, Wang, Dong, He, Long, Lin, Bin, Wang, Jingqi, Wang, Siwei, Eckels, David, Cervenka, Jan, Fiduccia, Peter C, Cossrow, Nicole, Yao, Lixia

“…Systematic literature review (SLR), a robust method to identify and summarize evidence from published sources, is considered to be a complex, time-consuming,…”
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A Bayesian Network to Predict the Risk of Post Influenza Vaccination Guillain-Barré Syndrome: Development and Validation Study by Huang, Yun, Luo, Chongliang, Jiang, Ying, Du, Jingcheng, Tao, Cui, Chen, Yong, Hao, Yuantao

“…Identifying the key factors of Guillain-Barré syndrome (GBS) and predicting its occurrence are vital for improving the prognosis of patients with GBS. However,…”
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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 Huang, Liang-Chin, Eiden, Amanda L, He, Long, Annan, Augustine, Wang, Siwei, Wang, Jingqi, Manion, Frank J, Wang, Xiaoyan, Du, Jingcheng, Yao, Lixia

“…Vaccines serve as a crucial public health tool, although vaccine hesitancy continues to pose a significant threat to full vaccine uptake and, consequently,…”
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