Yuqing Shang
According to our database1,
Yuqing Shang
authored at least 11 papers
between 2023 and 2024.
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2024
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Bibliography
2024
FAIM: Fairness-aware interpretable modeling for trustworthy machine learning in healthcare.
Patterns, 2024
FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction.
CoRR, 2024
Bridging Data Gaps in Healthcare: A Scoping Review of Transfer Learning in Biomedical Data Analysis.
CoRR, 2024
Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare.
CoRR, 2024
Developing Federated Time-to-Event Scores Using Heterogeneous Real-World Survival Data.
CoRR, 2024
Evaluating the Efficacy of Federated Scoring Systems with Heterogeneous Electronic Health Records.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024
Empirical Evaluations of Personalized Federated Learning on Heterogeneous Electronic Health Records.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024
2023
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques.
Artif. Intell. Medicine, August, 2023
Federated Learning for Clinical Structured Data: A Benchmark Comparison of Engineering and Statistical Approaches.
CoRR, 2023
Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist.
CoRR, 2023