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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Publicat a:JMIR Med Inform
Autors principals: 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
Format: Artigo
Idioma:Inglês
Publicat: JMIR Publications 2021
Matèries:
Original Paper
Accés en línia: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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