Calibration: the Achilles heel of predictive analytics

BACKGROUND: The assessment of calibration performance of risk prediction models based on regression or more flexible machine learning algorithms receives little attention. MAIN TEXT: Herein, we argue that this needs to change immediately because poorly calibrated algorithms can be misleading and pot...

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Detalles Bibliográficos
Autores principales: Van Calster, Ben, McLernon, David J., van Smeden, Maarten, Wynants, Laure, Steyerberg, Ewout W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Opinion
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6912996/
https://www.ncbi.nlm.nih.gov/pubmed/31842878
http://dx.doi.org/10.1186/s12916-019-1466-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6912996/
https://www.ncbi.nlm.nih.gov/pubmed/31842878
http://dx.doi.org/10.1186/s12916-019-1466-7

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