You Chen

Orcid: 0000-0001-8232-8840

Affiliations:
  • Vanderbilt University Medical Center, School of Medicine, Department of Biomedical Informatics, Nashville, TN, USA
  • Vanderbilt University, School of Engineering, Department of Computer Science, Nashville, TN, USA


According to our database1, You Chen authored at least 50 papers between 2011 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Discovering clinical drug-drug interactions with known pharmacokinetics mechanisms using spontaneous reporting systems and electronic health records.
J. Biomed. Informatics, 2024

2023
Learning from Non-Routine Events and Teamwork in Intensive Care Units: Challenges and Opportunities.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Repurposing Drugs for Alzheimer's Diseases through Link Prediction on Biomedical Literature.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

2022
Measuring and Maximizing Undivided Attention in the Context of Electronic Health Records.
Appl. Clin. Inform., August, 2022

Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Predicting next-day discharge via electronic health record access logs.
J. Am. Medical Informatics Assoc., 2021

Predicting brain function status changes in critically ill patients via Machine learning.
J. Am. Medical Informatics Assoc., 2021

Mining tasks and task characteristics from electronic health record audit logs with unsupervised machine learning.
J. Am. Medical Informatics Assoc., 2021

Learning the impact of acute and chronic diseases on forecasting neonatal encephalopathy.
Comput. Methods Programs Biomed., 2021

Detecting Drug-Drug Interactions in COVID-19 Patients.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Telehealth Use in the COVID-19 Pandemic: A Retrospective Study of Prenatal Care.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Telehealth Uptake into Primary Care During the COVID-19 Pandemic.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Teamwork and Patient Safety in Intensive Care Units: Challenges and Opportunities.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Perioperative Care Structures and Non-Routine Events: Network Analysis.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Predicting Next-Day Discharge via Electronic Health Record Audit Logs.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Discovering Drug-Drug Interactions in COVID-19 Patients.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Telehealth Uptake and Continuing Usage During the COVID-19 Pandemic.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Predicting Missing Values in Medical Data Via XGBoost Regression.
J. Heal. Informatics Res., 2020

Metrics for assessing physician activity using electronic health record log data.
J. Am. Medical Informatics Assoc., 2020

Learning Tasks of Pediatric Providers from Electronic Health Record Audit Logs.
Proceedings of the AMIA 2020, 2020

2019
Deep learning predicts extreme preterm birth from electronic health records.
J. Biomed. Informatics, 2019

Leveraging Electronic Health Records to Learn Progression Path for Severe Maternal Morbidity.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Learning to Identify Severe Maternal Morbidity from Electronic Health Records.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

XGBoost Imputation for Time Series Data.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Deep Imputation of Temporal Data.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

A Deep Learning Approach to Predict Neonatal Encephalopathy from Electronic Health Records.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Obstetric Patients with Repetitious Hospital Location Transfers Have Prolonged Stays.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Provider Networks in the Neonatal Intensive Care Unit Associate with Length of Stay.
Proceedings of the 5th IEEE International Conference on Collaboration and Internet Computing, 2019

Corpus Size Influences Clinical Concept Embeddings.
Proceedings of the AMIA 2019, 2019

2018
Learning bundled care opportunities from electronic medical records.
J. Biomed. Informatics, 2018

Interaction patterns of trauma providers are associated with length of stay.
J. Am. Medical Informatics Assoc., 2018

Mining the Best Observational Window to Model Social Phenomena.
Proceedings of the 4th IEEE International Conference on Collaboration and Internet Computing, 2018

2017
Identifying collaborative care teams through electronic medical record utilization patterns.
J. Am. Medical Informatics Assoc., 2017

A machine learning-based framework to identify type 2 diabetes through electronic health records.
Int. J. Medical Informatics, 2017

A Data-Driven Analysis of the Influence of Care Coordination on Trauma Outcome.
CoRR, 2017

Predicting Length of Stay for Obstetric Patients via Electronic Medical Records.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

2016
#PrayForDad: Learning the Semantics Behind Why Social Media Users Disclose Health Information.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Learning Clinical Workflows to Identify Subgroups of Heart Failure Patients.
Proceedings of the AMIA 2016, 2016

2015
Building bridges across electronic health record systems through inferred phenotypic topics.
J. Biomed. Informatics, 2015

Rubik: Knowledge Guided Tensor Factorization and Completion for Health Data Analytics.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Inferring Clinical Workflow Efficiency via Electronic Medical Record Utilization.
Proceedings of the AMIA 2015, 2015

2014
We work with them? Healthcare workers interpretation of organizational relations mined from electronic health records.
Int. J. Medical Informatics, 2014

Decide Now or Decide Later?: Quantifying the Tradeoff between Prospective and Retrospective Access Decisions.
Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security, 2014

2013
Evolving role definitions through permission invocation patterns.
Proceedings of the 18th ACM Symposium on Access Control Models and Technologies, 2013

2012
Detecting Anomalous Insiders in Collaborative Information Systems.
IEEE Trans. Dependable Secur. Comput., 2012

Specializing network analysis to detect anomalous insider actions.
Secur. Informatics, 2012

Auditing Medical Records Accesses via Healthcare Interaction Networks.
Proceedings of the AMIA 2012, 2012

2011
Context-Aware Anomaly Detection for Electronic Medical Record Systems.
Proceedings of the 2nd USENIX Workshop on Health Security and Privacy, 2011

Leveraging social networks to detect anomalous insider actions in collaborative environments.
Proceedings of the 2011 IEEE International Conference on Intelligence and Security Informatics, 2011

Detection of anomalous insiders in collaborative environments via relational analysis of access logs.
Proceedings of the First ACM Conference on Data and Application Security and Privacy, 2011


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