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Mei Liu

Associate Professor

University of Florida

United States

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Research Interests

Epidemiology

60%

Health Communication

20%

Clinical Application

40%

Healthcare Delivery

20%

Risk Prediction

20%

Cohort Study

20%

Kidney Disease

20%

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Articles16

Code and Data Repository for Early Detection of Adverse Drug Reactions in Post-Market Monitoring

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Year:

2025

Early Detection of Adverse Drug Reactions in Postmarket Monitoring

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Year:

2025

Autoencoder-Based Representation Learning for Similar Patients Retrieval From Electronic Health Records: Comparative Study

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Year:

2025

SMART: a new patient similarity estimation framework for enhanced predictive modeling in acute kidney injury

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Year:

2025

Enhancing Patient-Trial Matching With Large Language Models: A Scoping Review of Emerging Applications and Approaches

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Year:

2025

Discovering Time-aware Hidden Dependencies with Personalized Graphical Structure in Electronic Health Records

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Year:

2025

An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C)

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Year:

2023

Leveraging Natural Language Processing to Extract Features of Colorectal Polyps From Pathology Reports for Epidemiologic Study

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Year:

2023

Protein–ligand binding affinity prediction with edge awareness and supervised attention

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Year:

2023

A Transfer Learning Approach to Correct the Temporal Performance Drift of Clinical Prediction Models: Retrospective Cohort Study

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Year:

2022

Temporal dynamics of clinical risk predictors for hospital-acquired acute kidney injury under different forecast time windows

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Year:

2022

Enhancing PCORnet Clinical Research Network data completeness by integrating multistate insurance claims with electronic health records in a cloud environment aligned with CMS security and privacy requirements

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Year:

2022

COVID-19 SignSym: a fast adaptation of a general clinical NLP tool to identify and normalize COVID-19 signs and symptoms to OMOP common data model

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Year:

2021

Changing relative risk of clinical factors for hospital-acquired acute kidney injury across age groups: a retrospective cohort study

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Year:

2020

Cross-site transportability of an explainable artificial intelligence model for acute kidney injury prediction

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Year:

2020

Longitudinal Risk Prediction of Chronic Kidney Disease in Diabetic Patients using Temporal-Enhanced Gradient Boosting Machine: Retrospective Cohort Study

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Year:

2020

Collaborators9

Bradley Taylor

Chief Research Informatics Officer

Medical College of Wisconsin

UNITED STATES

JIE XU

University of Florida

UNITED STATES

Sunyang Fu

Assistant Professor

The University of Texas Health Science Center at Houston

UNITED STATES

Guilherme Del Fiol

Professor and Vice-Chair for Research

University of Utah

UNITED STATES

Alan S. L. Yu

University of Kansas Medical Center

UNITED STATES

Wenjun Zhou

The University of Tennessee Knoxville

UNITED STATES

Daniel Harris

Associate Professor

University of Kentucky

UNITED STATES

Michael Matheny

Associate Professor

Vanderbilt University Medical Center

UNITED STATES

Xing Song

Assistant Professor

University of Missouri

UNITED STATES

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