Feng Xie

AutoScore: A Machine Learning–Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records

2020 · 141 Zit. · JMIR Medical Informatics

Development and Assessment of an Interpretable Machine Learning Triage Tool for Estimating Mortality After Emergency Admissions

2021 · 67 Zit. · JAMA Network Open

Automated machine learning with interpretation: A systematic review of methodologies and applications in healthcare

2024 · 44 Zit. · Medicine Advances

Federated and distributed learning applications for electronic health records and structured medical data: a scoping review

2023 · 33 Zit. · Journal of the American Medical Informatics Association

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

2022 · 30 Zit. · PLOS Digital Health

AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data

2022 · 19 Zit. · Journal of Biomedical Informatics

AutoScore-Ordinal: an interpretable machine learning framework for generating scoring models for ordinal outcomes

2022 · 11 Zit. · BMC Medical Research Methodology

Comprehensive overview of the anesthesiology research landscape: A machine Learning Analysis of 737 NIH-funded anesthesiology primary Investigator's publication trends

2024 · 1 Zit. · Heliyon

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

2022 · 0 Zit. · arXiv (Cornell University)

Adoption of Chatbots for investment: An Extended model of UTAUT

2025 · 0 Zit. · SSRN Electronic Journal

FAIR-EC: A Global Research Network for Fair, Accountable, Interpretable, and Responsible AI in Emergency Care (Preprint)

2025 · 0 Zit.