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...

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Detalles Bibliográficos
Autores principales: Leiner, Johannes, Pellissier, Vincent, König, Sebastian, Hohenstein, Sven, Ueberham, Laura, Nachtigall, Irit, Meier-Hellmann, Andreas, Kuhlen, Ralf, Hindricks, Gerhard, Bollmann, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
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

Internet

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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