Feng Xie

6PUBLICATIONS
88CO-AUTHORS
Major global burdens of diseasePharmaceutical delivery technologiesNeonatologyContext learningPlanning and decision making
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Publications (6)

|Aug 05, 2026
Building a Global Research Network for Fair, Accountable, Interpretable, and Responsible AI in Emergency Care: Protocol for a FAIR-EC Study.

|Jul 10, 2026
PregMedNet: Multifaceted maternal medication impacts on neonatal complications.

|Jan 21, 2026
Quantitative assessment of neonatal health using dried blood spot metabolite profiles and deep learning.

Alan L Chang, Jonathan D Reiss, Anthony Culos

|Feb 22, 2023
A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study.

Yilin Ning, Siqi Li, Marcus Eng Hock Ong

|Mar 25, 2022
Leveraging Large-Scale Electronic Health Records and Interpretable Machine Learning for Clinical Decision Making at the Emergency Department: Protocol for System Development and Validation.

Nan Liu, Feng Xie, Fahad Javaid Siddiqui

|Oct 21, 2020
AutoScore: A Machine Learning-Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records.

Feng Xie, Bibhas Chakraborty, Marcus Eng Hock Ong

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Frequent Collaborators

4 joint publications

Bibhas Chakraborty

4 joint publications

Marcus Eng Hock Ong

4 joint publications

Nan Liu

2 joint publications

Benjamin Alan Goldstein