Personalized survival probabilities for SARS-CoV-2 positive patients by explainable machine learning

Interpretable risk assessment of SARS-CoV-2 positive patients can aid clinicians to implement precision medicine. Here we trained a machine learning model to predict mortality within 12 weeks of a first positive SARS-CoV-2 test. By leveraging data on 33,938 confirmed SARS-CoV-2 cases in eastern Denm...

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Detalles Bibliográficos
Autores principales: Zucco, Adrian G., Agius, Rudi, Svanberg, Rebecka, Moestrup, Kasper S., Marandi, Ramtin Z., MacPherson, Cameron Ross, Lundgren, Jens, Ostrowski, Sisse R., Niemann, Carsten U.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9380679/
https://www.ncbi.nlm.nih.gov/pubmed/35974050
http://dx.doi.org/10.1038/s41598-022-17953-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9380679/
https://www.ncbi.nlm.nih.gov/pubmed/35974050
http://dx.doi.org/10.1038/s41598-022-17953-y

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