Development and validation of an interpretable 3 day intensive care unit readmission prediction model using explainable boosting machines

BACKGROUND: Intensive care unit (ICU) readmissions are associated with mortality and poor outcomes. To improve discharge decisions, machine learning (ML) could help to identify patients at risk of ICU readmission. However, as many models are black boxes, dangerous properties may remain unnoticed. Wi...

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Detalles Bibliográficos
Autores principales: Hegselmann, Stefan, Ertmer, Christian, Volkert, Thomas, Gottschalk, Antje, Dugas, Martin, Varghese, Julian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9445989/
https://www.ncbi.nlm.nih.gov/pubmed/36082270
http://dx.doi.org/10.3389/fmed.2022.960296

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9445989/
https://www.ncbi.nlm.nih.gov/pubmed/36082270
http://dx.doi.org/10.3389/fmed.2022.960296

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