Chao Yan

Orcid: 0000-0002-6719-1388

Affiliations:
  • Vanderbilt University, Department of Electrical Engineering and Computer Science, Nashville, TN ,USA


According to our database1, Chao Yan authored at least 39 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
Leveraging generative AI to prioritize drug repurposing candidates for Alzheimer's disease with real-world clinical validation.
npj Digit. Medicine, 2024

Large language models facilitate the generation of electronic health record phenotyping algorithms.
J. Am. Medical Informatics Assoc., 2024

Evaluating site-of-care-related racial disparities in kidney graft failure using a novel federated learning framework.
J. Am. Medical Informatics Assoc., 2024

Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics.
CoRR, 2023

A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Membership inference attacks against synthetic health data.
J. Biomed. Informatics, 2022

Forecasting the future clinical events of a patient through contrastive learning.
J. Am. Medical Informatics Assoc., 2022

Keeping synthetic patients on track: feedback mechanisms to mitigate performance drift in longitudinal health data simulation.
J. Am. Medical Informatics Assoc., 2022

Dynamically adjusting case reporting policy to maximize privacy and public health utility in the face of a pandemic.
J. Am. Medical Informatics Assoc., 2022

A Multifaceted Benchmarking of Synthetic Electronic Health Record Generation Models.
CoRR, 2022

Distillation to Enhance the Portability of Risk Models Across Institutions with Large Patient Claims Database.
CoRR, 2022

How Adversarial Assumptions Influence Re-identification Risk Measures: A COVID-19 Case Study.
Proceedings of the Privacy in Statistical Databases - International Conference, 2022

Privacy-Preserving Publishing of Individual-Level Pandemic Data Based on a Game Theoretic Model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Assessing Machine Learning Based Generators for Synthetic Electronic Health Records: A Benchmarking.
Proceedings of the AMIA 2022, 2022

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

SynTEG: a framework for temporal structured electronic health data simulation.
J. Am. Medical Informatics Assoc., 2021

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

Dynamically Adjusting Case-Reporting Policy to Maximize Privacy and Utility in the Face of a Pandemic.
CoRR, 2021

Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge.
CoRR, 2021

CCF-CL: Forecasting the Clinical Status of a Patient Through Contrastive Learning.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 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

Synthetic Data to Support Engineering and Demonstrations in the All of Us Research Program.
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

Ensuring electronic medical record simulation through better training, modeling, and evaluation.
J. Am. Medical Informatics Assoc., 2020

To Warn or Not to Warn: Online Signaling in Audit Games.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Generating Electronic Health Records with Multiple Data Types and Constraints.
Proceedings of the AMIA 2020, 2020

Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Database Audit Workload Prioritization via Game Theory.
ACM Trans. Priv. Secur., 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

Biomedical Research Cohort Membership Disclosure on Social Media.
Proceedings of the AMIA 2019, 2019

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

2018
Get Your Workload in Order: Game Theoretic Prioritization of Database Auditing.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

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

2017
Evaluating the Effectiveness of Auditing Rules for Electronic Health Record Systems.
Proceedings of the AMIA 2017, 2017

A Game-Theoretic Approach for Alert Prioritization.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

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


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