Litcius/Paper detail

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 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, Yuk‐Lam Ho, John H. Holmes, Mark S. Keller, Jeffrey G. Klann MEng, Sehi L’Yi, Sara Lozano‐Zahonero, Sarah E. Maidlow, Adeline Makoudjou, Alberto Malovini, Bertrand Moal, Jason H. Moore, Michele Morris, Danielle L. Mowery, Shawn N. Murphy, Antoine Neuraz, Kee Yuan Ngiam, Gilbert S. Omenn, Lav P. Patel, Miguel Pedrera‐Jiménez, Andrea Prunotto, Malarkodi Jebathilagam Samayamuthu, Fernando J Sanz Vidorreta, Emily Schriver, Petra Schubert, Pablo Serrano Balazote, Andrew M. South, Amelia L.M. Tan, Byorn W.L. Tan, Valentina Tibollo, Patric Tippmann, Shyam Visweswaran, Zongqi Xia, William Yuan, Daniela Zöller, Isaac S. Kohane, Paul Avillach, Zijian Guo, Tianxi Cai

2022Journal of Biomedical Informatics30 citationsDOIOpen Access PDF

Topics & Concepts

Computer scienceFeature (linguistics)EstimatorPopulationData miningProportional hazards modelArtificial intelligenceMachine learningStatisticsMathematicsMedicineEnvironmental healthLinguisticsPhilosophyMachine Learning in HealthcareAdvanced Causal Inference TechniquesChronic Disease Management Strategies