Jingcheng Du
Orcid: 0000-0002-0322-4566
According to our database1,
Jingcheng Du
authored at least 64 papers
between 2014 and 2024.
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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
2023
SHAPE: A Sample-Adaptive Hierarchical Prediction Network for Medication Recommendation.
IEEE J. Biomed. Health Informatics, December, 2023
BMC Bioinform., December, 2023
Systematic design and data-driven evaluation of social determinants of health ontology (SDoHO).
J. Am. Medical Informatics Assoc., August, 2023
SHAPE: A Sample-adaptive Hierarchical Prediction Network for Medication Recommendation.
CoRR, 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
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
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
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
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
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
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
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 (EHR): A Systematic Review.
CoRR, 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
BMC Medical Informatics Decis. Mak., 2019
J. Am. Medical Informatics Assoc., 2019
Exploring difference in public perceptions on HPV vaccine between gender groups from Twitter using deep learning.
CoRR, 2019
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019
Proceedings of the AMIA 2019, 2019
2018
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
Proceedings of the IEEE International Conference on Healthcare Informatics Workshops, 2018
Proceedings of the IEEE International Conference on Healthcare Informatics Workshops, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
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
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
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
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
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
Proceedings of the 7th International Workshop on Semantic Web Applications and Tools for Life Sciences, 2014