SurvMaximin: Robust federated approach to transporting survival risk prediction models

Xuan Wang, Harrison G. Zhang, Xin Xiong, Chuan Hong, Griffin M. Weber, Gabriel A. Brat, Clara-Lea Bonzel, Yuan Luo, Rui Duan, Nathan P. Palmer, Meghan R. Hutch, Alba Gutiérrez-Sacristán, Riccardo Bellazzi, Luca Chiovato, Kelly Cho, Arianna Dagliati, Hossein Estiri, Noelia García-Barrio, Romain Griffier, David A. Hanauer et al. (38 additional authors not shown)

Abstract: Highlights•Estimate risk prediction models with multi-center heterogeneous Real-World Survival Data.•Federated learning of survival risk prediction models without sharing patient-level information.•Improve cross-system portability of COVID-19 mortality risk prediction models in the presence of cross site heterogeneity.