Sledovat
Jingcheng Du, Ph.D.
Jingcheng Du, Ph.D.
School of Biomedical Informatics, UTHealth
E-mailová adresa ověřena na: uth.tmc.edu - Domovská stránka
Název
Citace
Citace
Rok
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
4222020
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
1932019
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
1872018
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
1792021
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
1712019
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
1372014
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
1272017
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
1142020
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
1102017
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
982024
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
852020
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
702018
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
442023
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
432020
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
422020
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
412020
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
332022
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
322022
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
322020
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
312021
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Články 1–20