Jingcheng Du, Ph.D.

Cituota

	Visi	Nuo 2019
Šaltiniai	2451	2302
h-rodyklė	23	23
i10-rodyklė	38	34

540

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Bendraautoriai

Cui TaoDepartment of AI and Informatics, Mayo ClinicPatvirtintas el. paštas mayo.edu
Yang XiangPeng Cheng Laboratory, ChinaPatvirtintas el. paštas pcl.ac.cn
Hua XuRobert T. McCluskey Professor, Section of Biomedical Informatics and Data Science, Yale UniversityPatvirtintas el. paštas yale.edu
Yong ChenProfessor of Biostatistics, The University of PennsylvaniaPatvirtintas el. paštas upenn.edu
Qiang Weithe university of texas health science center at houstonPatvirtintas el. paštas uth.tmc.edu
Zhiyong LuSenior Investigator, NLM; Adjunct Professor of CS, UIUCPatvirtintas el. paštas nih.gov
Stephen WuAssociate Professor, UTHealthPatvirtintas el. paštas uth.tmc.edu
Qingyu ChenBiomedical Informatics & Data Science, Yale University; NCBI-NLM, National Institutes of HealthPatvirtintas el. paštas yale.edu
Yaoyun ZhangSelfiie; Alibaba Damo; Melax Technologies; University of TexasPatvirtintas el. paštas selfiie.com
Degui ZhiProfessor, University of Texas Health Science Center at HoustonPatvirtintas el. paštas uth.tmc.edu
Kirk RobertsMcWilliams School of Biomedical Informatics, University of Texas Health Science CenterPatvirtintas el. paštas uth.tmc.edu
Jing HuangAssistant Professor of Biostatistics, University of PennsylvaniaPatvirtintas el. paštas upenn.edu
Yuqi SiBaylor Scott White HealthPatvirtintas el. paštas columbia.edu
Jun Xu (徐军)AI as Services, Visa Inc.Patvirtintas el. paštas visa.com
Zongcheng Ji (吉宗诚)Ping An TechnologyPatvirtintas el. paštas pingan.com.cn
Xiaoqian JiangMcWilliams School of Biomedical Informatics, UTHealthPatvirtintas el. paštas uth.tmc.edu
Chongliang LuoWashington University in St LouisPatvirtintas el. paštas wustl.edu
Rui DuanHarvard UniversityPatvirtintas el. paštas hsph.harvard.edu
Frank J ManionVP of Organizational TransformationPatvirtintas el. paštas imohealth.com
Jiang BianHealth Outcomes & Biomedical Informatics, University of FloridaPatvirtintas el. paštas ufl.edu

Stebėti

Jingcheng Du, Ph.D.

Kiti vardai杜京城

School of Biomedical Informatics, UTHealth

Patvirtintas el. paštas uth.tmc.edu - Pagrindinis puslapis

Biomedical NLP Machine Learning Ontology


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	381	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	180	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	174	2019
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	160	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	158	2021
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	135	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	125	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	103	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, 2019	80	2019
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
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	57	2024
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	41	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	40	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	40	2020
Large language models in biomedical natural language processing: benchmarks, baselines, and recommendations Q Chen, J Du, Y Hu, VK Keloth, X Peng, K Raja, R Zhang, Z Lu, H Xu arXiv preprint arXiv:2305.16326, 2023	39	2023
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	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
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	30	2022
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	29	2021

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