Jingcheng Du

Orcid: 0000-0002-0322-4566

According to our database1, Jingcheng Du authored at least 63 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
AutoCriteria: a generalizable clinical trial eligibility criteria extraction system powered by large language models.
J. Am. Medical Informatics Assoc., January, 2024

Improving large language models for clinical named entity recognition via prompt engineering.
J. Am. Medical Informatics Assoc., 2024

2023
SHAPE: A Sample-Adaptive Hierarchical Prediction Network for Medication Recommendation.
IEEE J. Biomed. Health Informatics, December, 2023

Machine learning-based donor permission extraction from informed consent documents.
BMC Bioinform., December, 2023

Systematic design and data-driven evaluation of social determinants of health ontology (SDoHO).
J. Am. Medical Informatics Assoc., August, 2023

Large language models in biomedical natural language processing: benchmarks, baselines, and recommendations.
CoRR, 2023

2022
LitMC-BERT: Transformer-Based Multi-Label Classification of Biomedical Literature With An Application on COVID-19 Literature Curation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Systematic Design and Evaluation of Social Determinants of Health Ontology (SDoHO).
CoRR, 2022

Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations.
CoRR, 2022

Mining On Alzheimer's Diseases Related Knowledge Graph to Identity Potential AD-related Semantic Triples for Drug Repurposing.
CoRR, 2022

Mining on Alzheimer's diseases related knowledge graph to identity potential AD-related semantic triples for drug repurposing.
BMC Bioinform., 2022

Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations.
Database J. Biol. Databases Curation, 2022

LANN: an Integrated Online Annotation Tool for Information Extraction.
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

IMI-CDE: an interactive interface for collaborative mapping of study variables to common data elements.
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

Combining Transfer Learning with Graph Attention Models for HIV Risk Prediction.
Proceedings of the AMIA 2022, 2022

2021
Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review.
J. Biomed. Informatics, 2021

COVID-19 trial graph: a linked graph for COVID-19 clinical trials.
J. Am. Medical Informatics Assoc., 2021

Extracting postmarketing adverse events from safety reports in the vaccine adverse event reporting system (VAERS) using deep learning.
J. Am. Medical Informatics Assoc., 2021

Knowledge Graph-based Neurodegenerative Diseases and Diet Relationship Discovery.
CoRR, 2021

Understanding Public Perceptions of Measles from Twitter Using Multi-Task Convolutional Neural Networks.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Data and Model Biases in Social Media Analyses: A Case Study of COVID-19 Tweets.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

AM2BERT: attention guided and regularized transformer-based multi-label classification model for COVID-19 literature curation.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records.
BMC Medical Informatics Decis. Mak., April, 2020

Deep learning in clinical natural language processing: a methodical review.
J. Am. Medical Informatics Assoc., 2020

A study of deep learning approaches for medication and adverse drug event extraction from clinical text.
J. Am. Medical Informatics Assoc., 2020

Time event ontology (TEO): to support semantic representation and reasoning of complex temporal relations of clinical events.
J. Am. Medical Informatics Assoc., 2020

Exploring temporal suicidal behavior patterns on social media: Insight from Twitter analytics.
Health Informatics J., 2020

Ontological representation-oriented term normalization and standardization of the Research Domain Criteria.
Health Informatics J., 2020

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

Deep Representation Learning of Patient Data from Electronic Health Records: A Systematic Review.
Proceedings of the AMIA 2020, 2020

2019
Leveraging deep learning to understand health beliefs about the Human Papillomavirus Vaccine from social media.
npj Digit. Medicine, 2019

Comparing drug safety of hepatitis C therapies using post-market data.
BMC Medical Informatics Decis. Mak., 2019

ML-Net: multi-label classification of biomedical texts with deep neural networks.
J. Am. Medical Informatics Assoc., 2019

Exploring difference in public perceptions on HPV vaccine between gender groups from Twitter using deep learning.
CoRR, 2019


Systematic Design of Drug Repurposing-Oriented Alzheimer's Disease Ontology.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Evaluation of Five Sentence Similarity Models on Electronic Medical Records.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

Relation Extraction from Clinical Narratives Using Pre-trained Language Models.
Proceedings of the AMIA 2019, 2019

2018
Extracting psychiatric stressors for suicide from social media using deep learning.
BMC Medical Informatics Decis. Mak., 2018

Comparing Pharmacovigilance Outcomes Between FAERS and EMR Data for Acute Mania Patients.
Proceedings of the IEEE International Conference on Healthcare Informatics Workshops, 2018

Exploring Temporal Patterns of Suicidal Behavior on Twitter.
Proceedings of the IEEE International Conference on Healthcare Informatics Workshops, 2018

Term Standardization and Normalization for Research Domain Criteria (RDoC).
Proceedings of the IEEE International Conference on Healthcare Informatics Workshops, 2018

Comparing adverse effects of Hepatitis C drugs using FAERS data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Detecting Anatomical Entities in Clinical Text.
Proceedings of the AMIA 2018, 2018

Asthma Onset Prediction Using Structured EMR Data.
Proceedings of the AMIA 2018, 2018

Identification of Rare Adverse Events with Year-varying Reporting Rates for FLU4 Vaccine in VAERS.
Proceedings of the AMIA 2018, 2018

Construction of Drug Repurposing-oriented Alzheimer's Disease Ontology.
Proceedings of the AMIA 2018, 2018

Mining Human Papillomavirus Vaccination Health Beliefs from Twitter Using Attentive Recurrent Neural Network.
Proceedings of the AMIA 2018, 2018

2017
Leveraging machine learning-based approaches to assess human papillomavirus vaccination sentiment trends with Twitter data.
BMC Medical Informatics Decis. Mak., 2017

A signal detection method for temporal variation of adverse effect with vaccine adverse event reporting system data.
BMC Medical Informatics Decis. Mak., 2017

Optimization on machine learning based approaches for sentiment analysis on HPV vaccines related tweets.
J. Biomed. Semant., 2017

Comparing Different Adverse Effects Among Multiple Drugs Using FAERS Data.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Comparing the Human Papillomavirus Vaccination Opinions Trends from Different Twitter User Groups with a Machine Learning Based System and Semiparametric Nonlinear Regression.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Post-marketing Drug Safety Evaluation Using Data Mining Based on FAERS.
Proceedings of the Data Mining and Big Data - Second International Conference, 2017

Leveraging Machine Learning Based Approaches to Assess Human Papillomavirus Vaccination Sentiment Trends with Twitter.
Proceedings of the Summit on Clinical Research Informatics, 2017

A pilot study of mining association between psychiatric stressors and symptoms in tweets.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

A Twitter Study of the Relationship between the Geographic Variations of HPV Vaccination Rates and Online Information in the United States.
Proceedings of the AMIA 2017, 2017

2016
Erratum to: Extracting drug-enzyme relation from literature as evidence for drug drug interaction.
J. Biomed. Semant., 2016

Extracting drug-enzyme relation from literature as evidence for drug drug interaction.
J. Biomed. Semant., 2016

Trivalent influenza vaccine adverse symptoms analysis based on MedDRA terminology using VAERS data in 2011.
J. Biomed. Semant., 2016

A representational analysis of a temporal indeterminancy display in clinical events.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Trivalent Influenza Vaccine Adverse Event Analysis Based On MedDRA System Organ Classes Using VAERS Data.
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

2014
GSO: A Semantic Web Ontology to Capture 3D Genome Structure.
Proceedings of the 7th International Workshop on Semantic Web Applications and Tools for Life Sciences, 2014


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