Xing Song

Assistant Professor

University of Missouri

United States

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About

Dr. Xing Song serves as an Assistant Professor at the University of Missouri, located in the United States. His research primarily focuses on the integration of health data for predicting medical outcomes, with recent articles exploring topics such as machine learning applications in chronic disease management and the optimization of clinical research networks. He is particularly interested in conditions like amyotrophic lateral sclerosis, long COVID in children, and type 2 diabetes-related complications.

Articles (8)

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2025

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2024

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2023

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2022

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2022

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2021

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UNITED STATES

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Xing Song

Research Interests

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About

Articles (8)

Integrating Ambient In-Home Sensor Data and Electronic Health Record Data for the Prediction of Outcomes in Amyotrophic Lateral Sclerosis: Protocol for an Exploratory Feasibility Study

A comparison of Bayesian and frequentist approaches to incorporating clinical and biological information for the prediction of response to standardized pediatric colitis therapy

A machine learning-based phenotype for long COVID in children: An EHR-based study from the RECOVER program

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

Patients with type 2 diabetes and elevated fibrosis‐4 are under‐referred to hepatology and have unrecognized hepatic decompensation

Clinical factors associated with rapid treatment of sepsis

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

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

Collaborators (7)

Mihail Popescu

Hiroki Morizono

Alan S. L. Yu

Mei Liu

Michael Matheny

William Janes

Vovanti Jones

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