440. Detection of COVID-19 Patients Requiring Escalation to ICU Status Using a Naïve Bayes Classifier
Abstract Background A naïve Bayes classifier is a popular tool used in assigning variables an equal and independent contribution to a binary decision. With respect to COVID-19 severity, the naïve Bayes classifier can consider different variables, such as age, gender, race/ethnicity, comorbidities, a...
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Published in | Open forum infectious diseases Vol. 8; no. Supplement_1; p. S322 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
US
Oxford University Press
04.12.2021
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Subjects | |
Online Access | Get full text |
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