Paper

Federated learning for predicting clinical outcomes in patients with COVID-19

Published Sep 15, 2021 · I. Dayan, H. Roth, Aoxiao Zhong

Nature Medicine

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Abstract

Abstract hidden due to publisher request; this does not indicate any issues with the research. Click the full text link above to read the abstract and view the original source.

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Study Snapshot

Federated learning effectively predicts clinical outcomes in COVID-19 patients using data from multiple sources, improving accuracy and generalizability without data exchange.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

Federated learning for predicting clinical outcomes in patients with COVID-19

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