Risk scores in anaesthesia: the future is hard to predict

External validation helps to assess whether a given risk prediction model will perform well in a target population. Validation is an important step in maintaining the utility of risk prediction models, as their ability to provide reliable risk estimates will deteriorate over time (calibration drift)...

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Detalles Bibliográficos
Autores principales: Drayton, Daniel James, Ayres, Michael, Relton, Samuel D., Sperrin, Matthew, Hall, Marlous
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Editorial
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10430853/
https://www.ncbi.nlm.nih.gov/pubmed/37588581
http://dx.doi.org/10.1016/j.bjao.2022.100027
Descripción
Sumario:External validation helps to assess whether a given risk prediction model will perform well in a target population. Validation is an important step in maintaining the utility of risk prediction models, as their ability to provide reliable risk estimates will deteriorate over time (calibration drift).

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