Predicting sepsis using deep learning across international sites: a retrospective development and validation study

BACKGROUND: When sepsis is detected, organ damage may have progressed to irreversible stages, leading to poor prognosis. The use of machine learning for predicting sepsis early has shown promise, however international validations are missing. METHODS: This was a retrospective, observational, multi-c...

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Detalles Bibliográficos
Autores principales: Moor, Michael, Bennett, Nicolas, Plečko, Drago, Horn, Max, Rieck, Bastian, Meinshausen, Nicolai, Bühlmann, Peter, Borgwardt, Karsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10425671/
https://www.ncbi.nlm.nih.gov/pubmed/37588623
http://dx.doi.org/10.1016/j.eclinm.2023.102124

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10425671/
https://www.ncbi.nlm.nih.gov/pubmed/37588623
http://dx.doi.org/10.1016/j.eclinm.2023.102124

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