Development of a federated learning approach to predict acute kidney injury in adult hospitalized patients with COVID-19 in New York City

Federated learning is a technique for training predictive models without sharing patient-level data, thus maintaining data security while allowing inter-institutional collaboration. We used federated learning to predict acute kidney injury within three and seven days of admission, using demographics...

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Detalhes bibliográficos
Publicado no:medRxiv
Main Authors: Jaladanki, Suraj K, Vaid, Akhil, Sawant, Ashwin S, Xu, Jie, Shah, Kush, Dellepiane, Sergio, Paranjpe, Ishan, Chan, Lili, Kovatch, Patricia, Charney, Alexander W, Wang, Fei, Glicksberg, Benjamin S, Singh, Karandeep, Nadkarni, Girish N
Formato: Artigo
Idioma:Inglês
Publicado em: Cold Spring Harbor Laboratory 2021
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8328073/
https://ncbi.nlm.nih.gov/pubmed/34341802
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/2021.07.25.21261105
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