Jingcheng Du, Ph.D.

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Soavtorji

Cui TaoDepartment of AI and Informatics, Mayo ClinicPreverjeni e-poštni naslov na mayo.edu
Yang XiangPeng Cheng Laboratory, ChinaPreverjeni e-poštni naslov na pcl.ac.cn
Hua XuRobert T. McCluskey Professor, Section of Biomedical Informatics and Data Science, Yale UniversityPreverjeni e-poštni naslov na yale.edu
Yong ChenProfessor of Biostatistics, The University of PennsylvaniaPreverjeni e-poštni naslov na upenn.edu
Qiang Weithe university of texas health science center at houstonPreverjeni e-poštni naslov na uth.tmc.edu
Zhiyong LuSenior Investigator, NLM; Adjunct Professor of CS, UIUCPreverjeni e-poštni naslov na nih.gov
Degui ZhiProfessor, University of Texas Health Science Center at HoustonPreverjeni e-poštni naslov na uth.tmc.edu
Qingyu ChenBiomedical Informatics & Data Science, Yale University; NCBI-NLM, National Institutes of HealthPreverjeni e-poštni naslov na yale.edu
Stephen WuAssociate Professor, UTHealthPreverjeni e-poštni naslov na uth.tmc.edu
Yaoyun ZhangSelfiie; Alibaba Damo; Melax Technologies; University of TexasPreverjeni e-poštni naslov na selfiie.com
Kirk RobertsMcWilliams School of Biomedical Informatics, University of Texas Health Science CenterPreverjeni e-poštni naslov na uth.tmc.edu
Yuqi SiBaylor Scott White HealthPreverjeni e-poštni naslov na columbia.edu
Jing HuangAssistant Professor of Biostatistics, University of PennsylvaniaPreverjeni e-poštni naslov na upenn.edu
Jun Xu (徐军)AI as Services, Visa Inc.Preverjeni e-poštni naslov na visa.com
Xiaoqian JiangMcWilliams School of Biomedical Informatics, UTHealthPreverjeni e-poštni naslov na uth.tmc.edu
Zongcheng Ji (吉宗诚)Ping An TechnologyPreverjeni e-poštni naslov na pingan.com.cn
Chongliang LuoWashington University in St LouisPreverjeni e-poštni naslov na wustl.edu
Frank J ManionVP of Organizational TransformationPreverjeni e-poštni naslov na imohealth.com
Rui DuanHarvard UniversityPreverjeni e-poštni naslov na hsph.harvard.edu
Vipina K. KelothYale UniversityPreverjeni e-poštni naslov na yale.edu

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Jingcheng Du, Ph.D.

Druga imena杜京城

School of Biomedical Informatics, UTHealth

Preverjeni e-poštni naslov na uth.tmc.edu - Domača stran

Biomedical NLP Machine Learning Ontology


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
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	184	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	183	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	170	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

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