Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach

BACKGROUND: Machine learning models require large datasets that may be siloed across different health care institutions. Machine learning studies that focus on COVID-19 have been limited to single-hospital data, which limits model generalizability. OBJECTIVE: We aimed to use federated learning, a ma...

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Detalhes bibliográficos
Publicado no:JMIR Med Inform
Main Authors: Vaid, Akhil, Jaladanki, Suraj K, Xu, Jie, Teng, Shelly, Kumar, Arvind, Lee, Samuel, Somani, Sulaiman, Paranjpe, Ishan, De Freitas, Jessica K, Wanyan, Tingyi, Johnson, Kipp W, Bicak, Mesude, Klang, Eyal, Kwon, Young Joon, Costa, Anthony, Zhao, Shan, Miotto, Riccardo, Charney, Alexander W, Böttinger, Erwin, Fayad, Zahi A, Nadkarni, Girish N, Wang, Fei, Glicksberg, Benjamin S
Formato: Artigo
Idioma:Inglês
Publicado em: JMIR Publications 2021
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Original Paper
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7842859/
https://ncbi.nlm.nih.gov/pubmed/33400679
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/24207
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