Navigating the machine learning pipeline: a scoping review of inpatient delirium prediction models

OBJECTIVES: Early identification of inpatients at risk of developing delirium and implementing preventive measures could avoid up to 40% of delirium cases. Machine learning (ML)-based prediction models may enable risk stratification and targeted intervention, but establishing their current evolution...

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Detalles Bibliográficos
Autores principales: Strating, Tom, Shafiee Hanjani, Leila, Tornvall, Ida, Hubbard, Ruth, Scott, Ian A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10335592/
https://www.ncbi.nlm.nih.gov/pubmed/37407226
http://dx.doi.org/10.1136/bmjhci-2023-100767

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10335592/
https://www.ncbi.nlm.nih.gov/pubmed/37407226
http://dx.doi.org/10.1136/bmjhci-2023-100767

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