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: Alicia E. Genisca (著者), Kelsey Butler (著者), Monique Gainey (著者), Tzu-Chun Chu (著者), Lawrence Huang (著者), Eta N. Mbong (著者), Stephen B. Kennedy (著者), Razia Laghari (著者), Fiston Nganga (著者), Rigobert F. Muhayangabo (著者), Himanshu Vaishnav (著者), Shiromi M. Perera (著者), Moyinoluwa Adeniji (著者), Adam C. Levine (著者), Ian C. Michelow (著者), Andrés Colubri (著者)
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出版事項: Public Library of Science (PLoS), 2022-10-01T00:00:00Z.
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