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Author Details
Full Name
Jingcheng Du
Affiliation
University of Texas Health Science Center at Houston
ORCID
Career Start Year
2015
Papers
39
H Index
13
Expertise
CM4AI Collaborator
PMID
Paper Title
Journal Title
Published Year
37301740
Systematic design and data-driven evaluation of social determinants of health ontology (SDoHO).
J Am Med Inform Assoc
2023
35062764
Using a Machine Learning Approach to Monitor COVID-19 Vaccine Adverse Events (VAE) from Twitter Data.
Vaccines (Basel)
2022
35768434
Comparability of clinical trials and spontaneous reporting data regarding COVID-19 vaccine safety.
Sci Rep
2022
35673088
Understanding Public Perceptions of Measles from Twitter Using Multi-Task Convolutional Neural Networks.
Stud Health Technol Inform
2022
35308985
Data and Model Biases in Social Media Analyses: A Case Study of COVID-19 Tweets.
AMIA Annu Symp Proc
2022
35333192
A Bayesian Network to Predict the Risk of Post Influenza Vaccination Guillain-Barré Syndrome: Development and Validation Study.
JMIR Public Health Surveill
2022
33387683
Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review.
J Biomed Inform
2021
33647938
Extracting postmarketing adverse events from safety reports in the vaccine adverse event reporting system (VAERS) using deep learning.
J Am Med Inform Assoc
2021
33533072
Prediction of post-vaccination Guillain-Barré syndrome using data from a passive surveillance system.
Pharmacoepidemiol Drug Saf
2021
30843449
Ontological representation-oriented term normalization and standardization of the Research Domain Criteria.
Health Informatics J
2020
31794016
Deep learning in clinical natural language processing: a methodical review.
J Am Med Inform Assoc
2020
33185676
Use of Deep Learning to Analyze Social Media Discussions About the Human Papillomavirus Vaccine.
JAMA Netw Open
2020
32626903
Time event ontology (TEO): to support semantic representation and reasoning of complex temporal relations of clinical events.
J Am Med Inform Assoc
2020
32735224
Asthma Exacerbation Prediction and Risk Factor Analysis Based on a Time-Sensitive, Attentive Neural Network: Retrospective Cohort Study.
J Med Internet Res
2020
32308921
Relation Extraction from Clinical Narratives Using Pre-trained Language Models.
AMIA Annu Symp Proc
2020
32349758
Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records.
BMC Med Inform Decis Mak
2020
30866708
Exploring temporal suicidal behavior patterns on social media: Insight from Twitter analytics.
Health Informatics J
2020
30887861
On the evidence consistency of pharmacovigilance outcomes between Food and Drug Administration Adverse Event Reporting System and electronic medical record data for acute mania patients.
Health Informatics J
2020
31135882
A study of deep learning approaches for medication and adverse drug event extraction from clinical text.
J Am Med Inform Assoc
2020
30712510
Gene2vec: distributed representation of genes based on co-expression.
BMC Genomics
2019
31497391
Investigating safety profiles of human papillomavirus vaccine across group differences using VAERS data and MedDRA.
PeerJ
2019
31233120
ML-Net: multi-label classification of biomedical texts with deep neural networks.
J Am Med Inform Assoc
2019
31391106
Comparing drug safety of hepatitis C therapies using post-market data.
BMC Med Inform Decis Mak
2019
31304374
Leveraging deep learning to understand health beliefs about the Human Papillomavirus Vaccine from social media.
NPJ Digit Med
2019
29472179
Representation of Time-Relevant Common Data Elements in the Cancer Data Standards Repository: Statistical Evaluation of an Ontological Approach.
JMIR Med Inform
2018
29986843
Public Perception Analysis of Tweets During the 2015 Measles Outbreak: Comparative Study Using Convolutional Neural Network Models.
J Med Internet Res
2018
30066665
Extracting psychiatric stressors for suicide from social media using deep learning.
BMC Med Inform Decis Mak
2018
29896103
Characterization of the Differential Adverse Event Rates by Race/Ethnicity Groups for HPV Vaccine by Integrating Data From Different Sources.
Front Pharmacol
2018
30815200
Identification of Rare Adverse Events with Year-varying Reporting Rates for FLU4 Vaccine in VAERS.
AMIA Annu Symp Proc
2018
28699543
A signal detection method for temporal variation of adverse effect with vaccine adverse event reporting system data.
BMC Med Inform Decis Mak
2017
30035271
Post-marketing Drug Safety Evaluation using Data Mining Based on FAERS.
Data Min Big Data (2017)
2017
28253919
Optimization on machine learning based approaches for sentiment analysis on HPV vaccines related tweets.
J Biomed Semantics
2017
28469434
Analysis of Individual Differences in Vaccine Pharmacovigilance Using VAERS Data and MedDRA System Organ Classes: A Use Case Study With Trivalent Influenza Vaccine.
Biomed Inform Insights
2017
29295353
Comparing Different Adverse Effects Among Multiple Drugs Using FAERS Data.
Stud Health Technol Inform
2017
29295305
Comparing the Human Papillomavirus Vaccination Opinions Trends from Different Twitter User Groups with a Machine Learning Based System and Semiparametric Nonlinear Regression.
Stud Health Technol Inform
2017
28699569
Leveraging machine learning-based approaches to assess human papillomavirus vaccination sentiment trends with Twitter data.
BMC Med Inform Decis Mak
2017
27099701
Erratum to: Extracting drug-enzyme relation from literature as evidence for drug drug interaction.
J Biomed Semantics
2016
26955465
Extracting drug-enzyme relation from literature as evidence for drug drug interaction.
J Biomed Semantics
2016
26262375
Trivalent Influenza Vaccine Adverse Event Analysis Based On MedDRA System Organ Classes Using VAERS Data.
Stud Health Technol Inform
2015
1 - 39 of 39
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Yale University
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Yaoyun Zhang
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Rui Duan
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Washington University School of Medicine in St Louis
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Stephen Wu
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Gregory A Poland
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Kirk Roberts
Georgia Institute of Technology, National Library of Medicine, University of Texas Health Science Center at Houston, University of Texas at Dallas
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