受强制性开放获取政策约束的文章 - Jingcheng Du, Ph.D.了解详情
无法在其他位置公开访问的文章：2 篇
Application of artificial intelligence and machine learning for HIV prevention interventions
Y Xiang, J Du, K Fujimoto, F Li, J Schneider, C Tao
The Lancet HIV 9 (1), e54-e62, 2022
强制性开放获取政策： US National Institutes of Health
Term standardization and normalization for research domain criteria (RDoC)
F Li, G Rao, J Du, Y Xiang, Y Zhang, S Selek, JE Hamilton, H Xu, C Tao
2018 IEEE International Conference on Healthcare Informatics Workshop (ICHI …, 2018
强制性开放获取政策： US National Institutes of Health
已要求撤换的文章：1 篇
Systematic Design of Drug Repurposing-Oriented Alzheimer’s Disease Ontology
F Li, M Wang, HA Pham, Y Xiang, C Tao, J Du, G Rao
2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-5, 2019
强制性开放获取政策： US National Institutes of Health, Cancer Prevention Research Institute of …
负责上传的作者： F Li, C Tao
可在其他位置公开访问的文章：62 篇
Deep learning in clinical natural language processing: a methodical review
S Wu, K Roberts, S Datta, J Du, Z Ji, Y Si, S Soni, Q Wang, Q Wei, Y Xiang, ...
Journal of the American Medical Informatics Association 27 (3), 457-470, 2020
强制性开放获取政策： US National Institutes of Health, Patient-Centered Outcomes Research …
Extracting psychiatric stressors for suicide from social media using deep learning
J Du, Y Zhang, J Luo, Y Jia, Q Wei, C Tao, H Xu
BMC medical informatics and decision making 18, 77-87, 2018
强制性开放获取政策： US National Institutes of Health, 国家自然科学基金委员会
Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review
Y Si, J Du, Z Li, X Jiang, T Miller, F Wang, WJ Zheng, K Roberts
Journal of biomedical informatics 115, 103671, 2021
强制性开放获取政策： US National Science Foundation, US National Institutes of Health, Patient …
ML-Net: multi-label classification of biomedical texts with deep neural networks
J Du, Q Chen, Y Peng, Y Xiang, C Tao, Z Lu
Journal of the American Medical Informatics Association, 2019
强制性开放获取政策： US National Institutes of Health, Cancer Prevention Research Institute of …
Leveraging machine learning-based approaches to assess human papillomavirus vaccination sentiment trends with Twitter data
J Du, J Xu, HY Song, C Tao
BMC medical informatics and decision making 17, 63-70, 2017
强制性开放获取政策： US National Institutes of Health
A study of deep learning approaches for medication and adverse drug event extraction from clinical text
Q Wei, Z Ji, Z Li, J Du, J Wang, J Xu, Y Xiang, F Tiryaki, S Wu, Y Zhang, ...
Journal of the American Medical Informatics Association 27 (1), 13-21, 2020
强制性开放获取政策： US National Institutes of Health, Cancer Prevention Research Institute of …
Optimization on machine learning based approaches for sentiment analysis on HPV vaccines related tweets
J Du, J Xu, H Song, X Liu, C Tao
Journal of biomedical semantics 8, 1-7, 2017
强制性开放获取政策： US National Institutes of Health
Improving large language models for clinical named entity recognition via prompt engineering
Y Hu, Q Chen, J Du, X Peng, VK Keloth, X Zuo, Y Zhou, Z Li, X Jiang, Z Lu, ...
Journal of the American Medical Informatics Association, ocad259, 2024
强制性开放获取政策： US National Science Foundation, US National Institutes of Health, Cancer …
Relation extraction from clinical narratives using pre-trained language models
Q Wei, Z Ji, Y Si, J Du, J Wang, F Tiryaki, S Wu, C Tao, K Roberts, H Xu
AMIA annual symposium proceedings 2019, 1236, 2020
强制性开放获取政策： US National Institutes of Health, Cancer Prevention Research Institute of …
Public perception analysis of tweets during the 2015 measles outbreak: comparative study using convolutional neural network models
J Du, L Tang, Y Xiang, D Zhi, J Xu, HY Song, C Tao
Journal of medical Internet research 20 (7), e236, 2018
强制性开放获取政策： US National Institutes of Health
Exploring temporal suicidal behavior patterns on social media: Insight from Twitter analytics
J Luo, J Du, C Tao, H Xu, Y Zhang
Health informatics journal 26 (2), 738-752, 2020
强制性开放获取政策： US National Institutes of Health, 国家自然科学基金委员会, Cancer Prevention …
Asthma exacerbation prediction and risk factor analysis based on a time-sensitive, attentive neural network: retrospective cohort study
Y Xiang, H Ji, Y Zhou, F Li, J Du, L Rasmy, S Wu, WJ Zheng, H Xu, D Zhi, ...
Journal of medical Internet research 22 (7), e16981, 2020
强制性开放获取政策： US National Institutes of Health, Cancer Prevention Research Institute of …
Use of deep learning to analyze social media discussions about the human papillomavirus vaccine
J Du, C Luo, R Shegog, J Bian, RM Cunningham, JA Boom, GA Poland, ...
JAMA network open 3 (11), e2022025-e2022025, 2020
强制性开放获取政策： US National Science Foundation, US National Institutes of Health, Cancer …
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations
Q Chen, A Allot, R Leaman, R Islamaj, J Du, L Fang, K Wang, S Xu, ...
Database 2022, baac069, 2022
强制性开放获取政策： US National Institutes of Health, UK Medical Research Council
Time event ontology (TEO): to support semantic representation and reasoning of complex temporal relations of clinical events
F Li, J Du, Y He, HY Song, M Madkour, G Rao, Y Xiang, Y Luo, HW Chen, ...
Journal of the American Medical Informatics Association 27 (7), 1046-1056, 2020
强制性开放获取政策： US National Institutes of Health, Cancer Prevention Research Institute of …
Extracting postmarketing adverse events from safety reports in the vaccine adverse event reporting system (VAERS) using deep learning
J Du, Y Xiang, M Sankaranarayanapillai, M Zhang, J Wang, Y Si, ...
Journal of the American Medical Informatics Association 28 (7), 1393-1400, 2021
强制性开放获取政策： US National Institutes of Health
LitMC-BERT: transformer-based multi-label classification of biomedical literature with an application on COVID-19 literature curation
Q Chen, J Du, A Allot, Z Lu
IEEE/ACM transactions on computational biology and bioinformatics 19 (5 …, 2022
强制性开放获取政策： US National Institutes of Health
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