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Machine learning-derived prediction of in-hospital mortality in patients with severe acute respiratory infection: analysis of claims data from the German-wide Helios hospital network
BACKGROUND: Severe acute respiratory infections (SARI) are the most common infectious causes of death. Previous work regarding mortality prediction models for SARI using machine learning (ML) algorithms that can be useful for both individual risk stratification and quality of care assessment is scar...
Autores principales: | Leiner, Johannes, Pellissier, Vincent, König, Sebastian, Hohenstein, Sven, Ueberham, Laura, Nachtigall, Irit, Meier-Hellmann, Andreas, Kuhlen, Ralf, Hindricks, Gerhard, Bollmann, Andreas |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502925/ https://www.ncbi.nlm.nih.gov/pubmed/36151525 http://dx.doi.org/10.1186/s12931-022-02180-w |
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