作者
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, 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 R Schriver, Petra Schubert, Pablo Serrano-Balazote, Andrew M South, Amelia LM Tan, Byorn WL Tan, Valentina Tibollo, Patric Tippmann, Shyam Visweswaran, Zongqi Xia, William Yuan, Daniela Zöller, Isaac S Kohane, Paul Avillach, Zijian Guo, Tianxi Cai
发表日期
2022/10/1
期刊
Journal of biomedical informatics
卷号
134
页码范围
104176
出版商
Academic Press
简介
Objective
For multi-center heterogeneous Real-World Data (RWD) with time-to-event outcomes and high-dimensional features, we propose the SurvMaximin algorithm to estimate Cox model feature coefficients for a target population by borrowing summary information from a set of health care centers without sharing patient-level information.
Materials and Methods
For each of the centers from which we want to borrow information to improve the prediction performance for the target population, a penalized Cox model is fitted to estimate feature coefficients for the center. Using estimated feature coefficients and the covariance matrix of the target population, we then obtain a SurvMaximin estimated set of feature coefficients for the target population. The target population can be an entire cohort comprised of all centers, corresponding to federated learning, or a single center, corresponding to transfer learning.
Results …
学术搜索中的文章
X Wang, HG Zhang, X Xiong, C Hong, GM Weber… - Journal of biomedical informatics, 2022