Learning competing risks across multiple hospitals: one-shot distributed algorithms.
To characterize the complex interplay between multiple clinical conditions in a time-to-event analysis framework using data from multiple hospitals, we developed two novel one-shot distributed algorithms for competing risk models (ODACoR). By applying our algorithms to the EHR data from eight national children's hospitals, we quantified the impacts of a wide range of risk factors on the risk of post-acute sequelae of SARS-COV-2 (PASC) among children and adolescents.
Author(s): Zhang, Dazheng, Tong, Jiayi, Jing, Naimin, Yang, Yuchen, Luo, Chongliang, Lu, Yiwen, Christakis, Dimitri A, Güthe, Diana, Hornig, Mady, Kelleher, Kelly J, Morse, Keith E, Rogerson, Colin M, Divers, Jasmin, Carroll, Raymond J, Forrest, Christopher B, Chen, Yong
DOI: 10.1093/jamia/ocae027