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Federated Learning used for predicting outcomes in SARS-COV-2 patients

2021-01-08

Abstract excerpt

<title>Abstract</title> <p>‘Federated Learning’ (FL) is a method to train Artificial Intelligence (AI) models with data from multiple sources while maintaining anonymity of the data thus removing many barriers to data sharing. During the SARS-COV-2 pandemic, 20 institutes collaborated on a healthcare FL study to predict future oxygen requirements of infected patients using inputs of vital signs, laboratory data,...

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Literature Corpus work
352dca21-4c51-5d5a-87b0-40d61c8dfe4a
DOI
10.21203/rs.3.rs-126892/v1
Open publication

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Federated Learning used for predicting outcomes in SARS-COV-2 patientsDOI 10.21203/rs.3.rs-126892/v1
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