Constructing, validating, and updating machine learning models to predict survival in children with Ebola Virus Disease
<h4>Background</h4> Ebola Virus Disease (EVD) causes high case fatality rates (CFRs) in young children, yet there are limited data focusing on predicting mortality in pediatric patients. Here we present machine learning-derived prognostic models to predict clinical outcomes in children i...
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主要な著者: | , , , , , , , , , , , , , , , |
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フォーマット: | 図書 |
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Public Library of Science (PLoS),
2022-10-01T00:00:00Z.
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請求記号: |
A1234.567 |
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所蔵 1 | 利用可 |