JIE XU

University of Florida

United States

Research Interests

Explore related searches

Professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (13)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2021

Year:

2020

Year:

2020

Collaborators (13)

Chengxi Zang

Weill Cornell Medical College

UNITED STATES

View details

Yonghui Wu

Assistant Professor

University of Florida

UNITED STATES

View details

William Donahoo

Professor and Chief

University of Florida

UNITED STATES

View details

Bradley Taylor

Chief Research Informatics Officer

Medical College of Wisconsin

UNITED STATES

View details

Hui Hu

Brigham and Women's Hospital and Harvard Medical School

UNITED STATES

View details

Fei Wang

Weill Cornell Medicine

UNITED STATES

View details

Jingchuan Guo

UNITED STATES

View details

David Marra

Assistant Professor

Boston University School of Medicine

UNITED STATES

View details

Mei Liu

Associate Professor

University of Florida

UNITED STATES

View details

Jiang Bian

Associate Professor

University of Florida

UNITED STATES

View details

Yi Guo

Associate Professor

University of Florida

UNITED STATES

View details

Russell Terry

Assistant Professor of Urology

University of Florida College of Medicine

UNITED STATES

View details

Samuel Lee

University of North Carolina, Lineberger Comprehensive Cancer Center

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

JIE XU

Research Interests

Explore related searches

Contact this professor

Articles (13)

Multicenter target trial emulation to evaluate corticosteroids for sepsis stratified by predicted organ dysfunction trajectory

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

A scoping review and evidence gap analysis of clinical AI fairness

Federated learning with multi‐cohort real‐world data for predicting the progression from mild cognitive impairment to Alzheimer's disease

Combining Federated Machine Learning and Qualitative Methods to Investigate Novel Pediatric Asthma Subtypes: Protocol for a Mixed Methods Study

Early prediction of Alzheimer's disease and related dementias using real‐world electronic health records

Classification of Benign and Malignant Renal Tumors Based on CT Scans and Clinical Data Using Machine Learning Methods

Impact of Contextual-Level Social Determinants of Health on Newer Antidiabetic Drug Adoption in Patients with Type 2 Diabetes

Algorithmic fairness in computational medicine

Protocol for the development of a reporting guideline for causal and counterfactual prediction models in biomedicine

Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach

Data‐driven discovery of probable Alzheimer's disease and related dementia subphenotypes using electronic health records

Toward cross‐platform electronic health record‐driven phenotyping using Clinical Quality Language

Collaborators (13)

Chengxi Zang

Yonghui Wu

William Donahoo

Bradley Taylor

Hui Hu

Fei Wang

Jingchuan Guo

David Marra

Mei Liu

Jiang Bian

Yi Guo

Russell Terry

Samuel Lee

Make your next move.