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A Multicenter Validation Study of the Deep Learning-based Early Warning Score for Predicting in-hospital Cardiac Arrest in Patients Admitted to General Wards

2020-08-25

Abstract excerpt

<title>Abstract</title> <p><bold>Background:</bold> The recently developed deep learning (DL)-based early warning score (DEWS) has shown a potential in predicting deteriorating patients. We aimed to validate DEWS in multiple centers and compare the prediction, alarming and timeliness performance with those of the modified early warning score (MEWS) to identify patients at risk for in-hospital cardiac arrest (IHCA...

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Literature Corpus work: fe25e324-760b-573d-9f0e-b67dcf9a8c3a
DOI: 10.21203/rs.3.rs-61577/v1

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