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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Détails bibliographiques
Publié dans:JMIR Med Inform
Auteurs principaux: 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
Langue:Inglês
Publié: JMIR Publications 2021
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Original Paper
Accès en ligne: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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