7 papers
Authentic Multinational Federated Time-to-Event Analyses Among People with HIV in Latin America
Kaixing Liu, Zhuohui J. Liang, Fabio Paredes +12
Multinational HIV cohort studies face regulatory barriers to cross-border sharing of individual participant data, limiting centralized pooled analyses. Federated statistical method…
RadOT-Eval: Auditable Structured-Evidence Transport for Radiology Report Evaluation
Weixin Liu, Juming Xiong, Yang Li +5
Automatic evaluation is critical for high-stakes text generation, where errors often involve omitted findings, hallucinated content, polarity reversals, location changes, uncertain…
Risk-Equalized Differentially Private Synthetic Data: Protecting Outliers by Controlling Record-Level Influence
Amir Asiaee, Chao Yan, Zachary B. Abrams +1
When synthetic data is released, some individuals are harder to protect than others. A patient with a rare disease combination or a transaction with unusual characteristics stands…
PRISM: Differentially Private Synthetic Data with Structure-Aware Budget Allocation for Prediction
Amir Asiaee, Chao Yan, Zachary B. Abrams +1
Differential privacy (DP) provides a mathematical guarantee limiting what an adversary can learn about any individual from released data. However, achieving this protection typical…
A Reinforcement Learning Approach to Synthetic Data Generation
Natalia Espinosa-Dice, Nicholas J. Jackson, Chao Yan +2
Synthetic data generation (SDG) is a promising approach for enabling data sharing in biomedical studies while preserving patient privacy. Yet, state-of-the-art generative models of…
Role and Use of Race in AI/ML Models Related to Health
Martin C. Were, Ang Li, Bradley A. Malin +9
The role and use of race within health-related artificial intelligence and machine learning (AI/ML) models has sparked increasing attention and controversy. Despite the complexity…