Machine Learning for Benchmarking Critical Care Outcomes

OBJECTIVES: Enhancing critical care efficacy involves evaluating and improving system functioning. Benchmarking, a retrospective comparison of results against standards, aids risk-adjusted assessment and helps healthcare providers identify areas for improvement based on observed and predicted outcom...

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Detalles Bibliográficos
Autores principales: Atallah, Louis, Nabian, Mohsen, Brochini, Ludmila, Amelung, Pamela J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2023
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10651403/
https://www.ncbi.nlm.nih.gov/pubmed/37964452
http://dx.doi.org/10.4258/hir.2023.29.4.301

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10651403/
https://www.ncbi.nlm.nih.gov/pubmed/37964452
http://dx.doi.org/10.4258/hir.2023.29.4.301

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