2 papers
cs.LG2026
Bootstrapping-based Regularisation for Reducing Individual Prediction Instability in Clinical Risk Prediction Models
Sara Matijevic, Christopher Yau
Clinical prediction models are increasingly used to support patient care, yet many deep learning-based approaches remain unstable, as their predictions can vary substantially when…
cs.LG2026
A pipeline for enabling path-specific causal fairness in observational health data
Aparajita Kashyap, Sara Matijevic, Noémie Elhadad +2
When training machine learning (ML) models for potential deployment in a healthcare setting, it is essential to ensure that they do not replicate or exacerbate existing healthcare…