Federated learning for clinical outcome prediction from structured and temporal health data: A systematic review of performance, heterogeneity, privacy, and clinical translation
Retrospective registration of a PRISMA 2020 systematic review of empirical federated learning (FL) studies that predict individual patient clinical outcomes from structured electronic health records, clinical time series, sensor and text data. The review addresses six research questions: FL algorithms and performance r...