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Characterising paediatric mortality during and after acute illness in Sub-Saharan Africa and South Asia: a secondary analysis of the CHAIN cohort using a machine learning approach
BACKGROUND: A better understanding of which children are likely to die during acute illness will help clinicians and policy makers target resources at the most vulnerable children. We used machine learning to characterise mortality in the 30-days following admission and the 180-days after discharge...
| Formato: | Online Artículo Texto |
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| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9941052/ https://www.ncbi.nlm.nih.gov/pubmed/36825237 http://dx.doi.org/10.1016/j.eclinm.2023.101838 |