Federated learning for predicting clinical outcomes in patients with COVID-19.
- DOI
- 10.1038/s41591-021-01506-3
- Published
- 2021-09-15
- Container
- Nat Med
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- Not recorded
- Open access
- no
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BibTeX
@article{allodium:10.1038/s41591-021-01506-3,
title = {Federated learning for predicting clinical outcomes in patients with COVID-19.},
author = {Dayan I and Roth HR and Zhong A and Harouni A and Gentili A and Abidin AZ and Liu A and Costa AB and Wood BJ and Tsai CS and Wang CH and Hsu CN and Lee CK and Ruan P and Xu D and Wu D and Huang E and Kitamura FC and Lacey G and de Antônio Corradi GC and Nino G and Shin HH and Obinata H and Ren H and Crane JC and Tetreault J and Guan J and Garrett JW and Kaggie JD and Park JG and Dreyer K and Juluru K and Kersten K and Rockenbach MABC and Linguraru MG and Haider MA and AbdelMaseeh M and Rieke N and Damasceno PF and E Silva PMC and Wang P and Xu S and Kawano S and Sriswasdi S and Park SY and Grist TM and Buch V and Jantarabenjakul W and Wang W and Tak WY and Li X and Lin X and Kwon YJ and Quraini A and Feng A and Priest AN and Turkbey B and Glicksberg B and Bizzo B and Kim BS and Tor-Díez C and Lee CC and Hsu CJ and Lin C and Lai CL and Hess CP and Compas C and Bhatia D and Oermann EK and Leibovitz E and Sasaki H and Mori H and Yang I and Sohn JH and Murthy KNK and Fu LC and de Mendonça MRF and Fralick M and Kang MK and Adil M and Gangai N and Vateekul P and Elnajjar P and Hickman S and Majumdar S and McLeod SL and Reed S and Gräf S and Harmon S and Kodama T and Puthanakit T and Mazzulli T and de Lavor VL and Rakvongthai Y and Lee YR and Wen Y and Gilbert FJ and Flores MG and Li Q.},
year = {2021},
journal = {Nat Med},
doi = {10.1038/s41591-021-01506-3},
url = {https://doi.org/10.1038/s41591-021-01506-3}
}RIS
TY - JOUR TI - Federated learning for predicting clinical outcomes in patients with COVID-19. AU - Dayan I AU - Roth HR AU - Zhong A AU - Harouni A AU - Gentili A AU - Abidin AZ AU - Liu A AU - Costa AB AU - Wood BJ AU - Tsai CS AU - Wang CH AU - Hsu CN AU - Lee CK AU - Ruan P AU - Xu D AU - Wu D AU - Huang E AU - Kitamura FC AU - Lacey G AU - de Antônio Corradi GC AU - Nino G AU - Shin HH AU - Obinata H AU - Ren H AU - Crane JC AU - Tetreault J AU - Guan J AU - Garrett JW AU - Kaggie JD AU - Park JG AU - Dreyer K AU - Juluru K AU - Kersten K AU - Rockenbach MABC AU - Linguraru MG AU - Haider MA AU - AbdelMaseeh M AU - Rieke N AU - Damasceno PF AU - E Silva PMC AU - Wang P AU - Xu S AU - Kawano S AU - Sriswasdi S AU - Park SY AU - Grist TM AU - Buch V AU - Jantarabenjakul W AU - Wang W AU - Tak WY AU - Li X AU - Lin X AU - Kwon YJ AU - Quraini A AU - Feng A AU - Priest AN AU - Turkbey B AU - Glicksberg B AU - Bizzo B AU - Kim BS AU - Tor-Díez C AU - Lee CC AU - Hsu CJ AU - Lin C AU - Lai CL AU - Hess CP AU - Compas C AU - Bhatia D AU - Oermann EK AU - Leibovitz E AU - Sasaki H AU - Mori H AU - Yang I AU - Sohn JH AU - Murthy KNK AU - Fu LC AU - de Mendonça MRF AU - Fralick M AU - Kang MK AU - Adil M AU - Gangai N AU - Vateekul P AU - Elnajjar P AU - Hickman S AU - Majumdar S AU - McLeod SL AU - Reed S AU - Gräf S AU - Harmon S AU - Kodama T AU - Puthanakit T AU - Mazzulli T AU - de Lavor VL AU - Rakvongthai Y AU - Lee YR AU - Wen Y AU - Gilbert FJ AU - Flores MG AU - Li Q. PY - 2021 JO - Nat Med DO - 10.1038/s41591-021-01506-3 UR - https://doi.org/10.1038/s41591-021-01506-3 ER -
APA
I, D., HR, R., A, Z., A, H., A, G., AZ, A., A, L., AB, C., BJ, W., CS, T., CH, W., CN, H., CK, L., P, R., D, X., D, W., E, H., FC, K., G, L., GC, D. A. C., G, N., HH, S., H, O., H, R., JC, C., J, T., J, G., JW, G., JD, K., JG, P., K, D., K, J., K, K., MABC, R., MG, L., MA, H., M, A., N, R., PF, D., PMC, E. S., P, W., S, X., S, K., S, S., SY, P., TM, G., V, B., W, J., W, W., WY, T., X, L., X, L., YJ, K., A, Q., A, F., AN, P., B, T., B, G., B, B., BS, K., C, T., CC, L., CJ, H., C, L., CL, L., CP, H., C, C., D, B., EK, O., E, L., H, S., H, M., I, Y., JH, S., KNK, M., LC, F., MRF, D. M., M, F., MK, K., M, A., N, G., P, V., P, E., S, H., S, M., SL, M., S, R., S, G., S, H., T, K., T, P., T, M., VL, D. L., Y, R., YR, L., Y, W., FJ, G., MG, F., & Q., L. (2021). Federated learning for predicting clinical outcomes in patients with COVID-19.. Nat Med. https://doi.org/10.1038/s41591-021-01506-3
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- europe-pmc · retrieved 2026-09-25T11:31:28.719Z