Artificial intelligence (AI) has demonstrated the ability to extract ins...
Federated learning (FL) has gained popularity in clinical research in re...
A prediction model is most useful if it generalizes beyond the developme...
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...
Background: Risk prediction models are useful tools in clinical
decision...
Risk scores are widely used for clinical decision making and commonly
ge...
There is a continuously growing demand for emergency department (ED) ser...
Objective: Heart rate variability (HRV) has been proven to be an importa...
Interpretable machine learning has been focusing on explaining final mod...
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...