Federated Learning used for predicting outcomes in SARS-COV-2 patients.
Flores M, Dayan I, Roth H, Zhong A, Harouni A, Gentili A, Abidin A, Liu A, Costa A, Wood B, Tsai CS, Wang CH, Hsu CN, Lee CK, Ruan C, Xu D, Wu D, Huang E, Kitamura F, Lacey G, Corradi GCA, Shin HH, Obinata H, Ren H, Crane J, Tetreault J, Guan J, Garrett J, Park JG, Dreyer K, Juluru K, Kersten K, Rockenbach MABC, Linguraru M, Haider M, AbdelMaseeh M, Rieke N, Damasceno P, Silva PMCE, Wang P, Xu S, Kawano S, Sriswa S, Park SY, Grist T, Buch V, Jantarabenjakul W, Wang W, Tak WY, Li X, Lin X, Kwon F, Gilbert F, Kaggie J, Li Q, Quraini A, Feng A, Priest A, Turkbey B, Glicksberg B, Bizzo B, Kim BS, Tor-Diez C, Lee CC, Hsu CJ, Lin C, Lai CL, Hess C, Compas C, Bhatia D, Oermann E, Leibovitz E, Sasaki H, Mori H, Yang I, Sohn JH, Murthy KNK, Fu LC, de Mendonça MRF, Fralick M, Kang MK, Adil M, Gangai N, Vateekul P, Elnajjar P, Hickman S, Majumdar S, McLeod S, Reed S, Graf S, Harmon S, Kodama T, Puthanakit T, Mazzulli T, Lavor VL, Rakvongthai Y, Lee YR, Wen Y.
Flores M, et al. Among authors: fu lc.
Res Sq. 2021 Jan 8:rs.3.rs-126892. doi: 10.21203/rs.3.rs-126892/v1. Preprint.
Res Sq. 2021.
PMID: 33442676
Free PMC article.