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Jie Xu
Vaid et al., 2020
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@misc{Vaid2020, author = {Vaid, Akhil and Jaladanki, Suraj K. and Xu, Jie and Teng, Shelly and Kumar, Arvind and Lee, Samuel and Somani, Sulaiman and Paranjpe, Ishan and De Freitas, Jessica K. and Wanyan, Tingyi and Johnson, Kipp W. and Bicak, Mesude and Klang, Eyal and Kwon, Young Joon and Costa, Anthony and Zhao, Shan and Miotto, Riccardo and Charney, Alexander W. and Böttinger, Erwin and Fayad, Zahi A. and Nadkarni, Girish N. and Wang, Fei and Glicksberg, Benjamin S.}, month = {sep}, title = {Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach (Preprint)}, year = {2020} }
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Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach (Preprint)
Published in 2020 by
Akhil Vaid
,
Suraj K. Jaladanki
,
Jie Xu
,
Shelly Teng
,
Arvind Kumar
,
Samuel Lee
,
Sulaiman Somani
,
Ishan Paranjpe
,
Jessica K. De Freitas
,
Tingyi Wanyan
,
Kipp W. Johnson
,
Mesude Bicak
,
Eyal Klang
,
Young Joon Kwon
,
Anthony Costa
and
other authors.
Akhil Vaid
,
Suraj K. Jaladanki
,
Jie Xu
,
Shelly Teng
,
Arvind Kumar
,
Samuel Lee
,
Sulaiman Somani
,
Ishan Paranjpe
,
Jessica K. De Freitas
,
Tingyi Wanyan
,
Kipp W. Johnson
,
Mesude Bicak
,
Eyal Klang
,
Young Joon Kwon
,
Anthony Costa
,
Shan Zhao
,
Riccardo Miotto
,
Alexander W. Charney
,
Erwin Böttinger
,
Zahi A. Fayad
,
Girish N. Nadkarni
,
Fei Wang
,
Benjamin S. Glicksberg
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