We propose FedScore, a privacy-preserving federated learning framework f...
Objective: The proper handling of missing values is critical to deliveri...
Objective: Shapley additive explanations (SHAP) is a popular post-hoc
te...
Nowadays, the interpretation of why a machine learning (ML) model makes
...
Objective: Temporal electronic health records (EHRs) can be a wealth of
...
Background: Medical decision-making impacts both individual and public
h...
Scoring systems are highly interpretable and widely used to evaluate
tim...