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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Vydáno v:JMIR Med Inform
Hlavní autoři: 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
Médium: Artigo
Jazyk:Inglês
Vydáno: JMIR Publications 2021
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Original Paper
On-line přístup: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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