Article

Development of a federated learning approach to predict acute kidney injury in adult hospitalized patients with COVID-19 in New York City

2021-07-28

Abstract excerpt

<h4>ABSTRACT</h4> Federated learning is a technique for training predictive models without sharing patient-level data, thus maintaining data security while allowing inter-institutional collaboration. We used federated learning to predict acute kidney injury within three and seven days of admission, using demographics, comorbidities, vital signs, and laboratory values, in 4029 adults hospitalized with COVID-19 at...

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Literature Corpus work: 8f550a80-038c-571f-9fcf-27a5f93332e7
DOI: 10.1101/2021.07.25.21261105

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