January 5, 2021Open Access

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

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Abstract

The federated learning of COVID-19 electronic health record data shows promise in developing robust predictive models without compromising patient privacy.

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Authors

Akhil Vaid

Suraj K. Jaladanki

Jie Xu

Journals

SHILAP Revista de lepidopterología

JMIR Medical Informatics

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Institutions

Cornell University

The University of Texas at Austin

Icahn School of Medicine at Mount Sinai

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

Key Points

Abstract

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Discussion

Authors

Journals

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References and Citations

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Discussion

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