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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Publicado en:medRxiv
Autores principales: 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
Lenguaje:Inglês
Publicado: Cold Spring Harbor Laboratory 2021
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Article
Acceso en línea: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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