Federated learning for predicting clinical outcomes in patients with COVID-19-Reference-Cited by-同舟云学术

Federated learning for predicting clinical outcomes in patients with COVID-19

Published:2021-09-15 Issue:10 Volume:27 Page:1735-1743
ISSN:1078-8956
Container-title:Nature Medicine
language:en
Short-container-title:Nat Med

Author:

Dayan Ittai,Roth Holger R.^ORCID,Zhong Aoxiao^ORCID,Harouni Ahmed,Gentili Amilcare,Abidin Anas Z.,Liu Andrew,Costa Anthony Beardsworth^ORCID,Wood Bradford J.^ORCID,Tsai Chien-Sung,Wang Chih-Hung^ORCID,Hsu Chun-Nan^ORCID,Lee C. K.,Ruan Peiying,Xu Daguang,Wu Dufan,Huang Eddie,Kitamura Felipe Campos^ORCID,Lacey Griffin,de Antônio Corradi Gustavo César,Nino Gustavo,Shin Hao-Hsin^ORCID,Obinata Hirofumi,Ren Hui,Crane Jason C.,Tetreault Jesse,Guan Jiahui,Garrett John W.^ORCID,Kaggie Joshua D.,Park Jung Gil^ORCID,Dreyer Keith,Juluru Krishna,Kersten Kristopher,Rockenbach Marcio Aloisio Bezerra Cavalcanti^ORCID,Linguraru Marius George,Haider Masoom A.,AbdelMaseeh Meena,Rieke Nicola^ORCID,Damasceno Pablo F.^ORCID,e Silva Pedro Mario Cruz,Wang Pochuan^ORCID,Xu Sheng,Kawano Shuichi,Sriswasdi Sira^ORCID,Park Soo Young,Grist Thomas M.,Buch Varun,Jantarabenjakul Watsamon,Wang Weichung,Tak Won Young,Li Xiang^ORCID,Lin Xihong^ORCID,Kwon Young Joon,Quraini Abood,Feng Andrew,Priest Andrew N.^ORCID,Turkbey Baris^ORCID,Glicksberg Benjamin^ORCID,Bizzo Bernardo^ORCID,Kim Byung Seok,Tor-Díez Carlos,Lee Chia-Cheng,Hsu Chia-Jung,Lin Chin,Lai Chiu-Ling,Hess Christopher P.,Compas Colin,Bhatia Deepeksha,Oermann Eric K.,Leibovitz Evan,Sasaki Hisashi,Mori Hitoshi,Yang Isaac,Sohn Jae Ho,Murthy Krishna Nand Keshava^ORCID,Fu Li-Chen,de Mendonça Matheus Ribeiro Furtado^ORCID,Fralick Mike,Kang Min Kyu^ORCID,Adil Mohammad,Gangai Natalie,Vateekul Peerapon^ORCID,Elnajjar Pierre,Hickman Sarah,Majumdar Sharmila,McLeod Shelley L.,Reed Sheridan,Gräf Stefan^ORCID,Harmon Stephanie^ORCID,Kodama Tatsuya,Puthanakit Thanyawee,Mazzulli Tony,de Lavor Vitor Lima,Rakvongthai Yothin,Lee Yu Rim,Wen Yuhong,Gilbert Fiona J.^ORCID,Flores Mona G.^ORCID,Li Quanzheng

Publisher

Springer Science and Business Media LLC

Subject

General Biochemistry, Genetics and Molecular Biology,General Medicine

Link

https://www.nature.com/articles/s41591-021-01506-3.pdf

Reference74 articles.

1. Budd, J. et al. Digital technologies in the public-health response to COVID-19. Nat. Med. 26, 1183–1192 (2020).

2. Moorthy, V., Henao Restrepo, A. M., Preziosi, M.-P. & Swaminathan, S. Data sharing for novel coronavirus (COVID-19). Bull. World Health Organ. 98, 150 (2020).

3. Chen, Q., Allot, A. & Lu, Z. Keep up with the latest coronavirus research. Nature 579, 193 (2020).

4. Fabbri, F., Bhatia, A., Mayer, A., Schlotter, B. & Kaiser, J. BCG IT spend pulse: how COVID-19 is shifting tech priorities. https://www.bcg.com/publications/2020/how-covid-19-is-shifting-big-it-spend (2020).

5. Candelon, F., Reichert, T., Duranton, S., di Carlo, R. C. & De Bondt, M. The rise of the AI-powered company in the postcrisis world. https://www.bcg.com/en-gb/publications/2020/business-applications-artificial-intelligence-post-covid (2020).

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