Developing Federated Time-to-Event Scores Using Heterogeneous Real-World Survival Data
Survival analysis serves as a fundamental component in numerous healthcare applications,
where the determination of the time to specific events (such as the onset of a certain disease …
where the determination of the time to specific events (such as the onset of a certain disease …
Federated Learning for Clinical Structured Data: A Benchmark Comparison of Engineering and Statistical Approaches
Federated learning (FL) has shown promising potential in safeguarding data privacy in
healthcare collaborations. While the term" FL" was originally coined by the engineering …
healthcare collaborations. While the term" FL" was originally coined by the engineering …
Evaluating the Efficacy of Federated Scoring Systems with Heterogeneous Electronic Health Records
Federated learning in healthcare research has primarily focused on black-box models,
leaving a notable gap in interpretability crucial for clinical decision-making. While scoring …
leaving a notable gap in interpretability crucial for clinical decision-making. While scoring …
[PDF][PDF] FedScore: A Privacy-Preserving Framework for Federated Scoring System Development
FL Most - researchgate.net
[1] Li, Siqi, et al.(2023). Federated and distributed learning applications for electronic health
records and structured medical data: a scoping review. Journal of the American Medical …
records and structured medical data: a scoping review. Journal of the American Medical …