| 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 | 403 | 2020 |
| 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 | 183 | 2018 |
| Gene2vec: distributed representation of genes based on co-expression J Du, P Jia, Y Dai, C Tao, Z Zhao, D Zhi BMC genomics 20, 7-15, 2019 | 182 | 2019 |
| 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 | 169 | 2021 |
| 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 | 167 | 2019 |
| Graphene oxide doped conducting polymer nanocomposite film for electrode-tissue interface HC Tian, JQ Liu, DX Wei, XY Kang, C Zhang, JC Du, B Yang, X Chen, ... Biomaterials 35 (7), 2120-2129, 2014 | 137 | 2014 |
| 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 | 127 | 2017 |
| 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 | 109 | 2017 |
| 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 | 106 | 2020 |
| 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 | 83 | 2020 |
| 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 | 79 | 2024 |
| 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 | 69 | 2018 |
| Large language models in biomedical natural language processing: benchmarks, baselines, and recommendations Q Chen, J Du, Y Hu, V Kuttichi Keloth, X Peng, K Raja, R Zhang, Z Lu, ... arXiv e-prints, arXiv: 2305.16326, 2023 | 43 | 2023 |
| 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 | 43 | 2020 |
| 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 | 42 | 2020 |
| 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 | 41 | 2020 |
| 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 | 33 | 2022 |
| Using a machine learning approach to monitor COVID-19 vaccine adverse events (VAE) from twitter data AT Lian, J Du, L Tang Vaccines 10 (1), 103, 2022 | 32 | 2022 |
| 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 | 31 | 2020 |
| 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 | 30 | 2021 |
Cui TaoDepartment of AI and Informatics, Mayo Clinic在 mayo.edu 的电子邮件经过验证
