Assessing the transportability of clinical prediction models for cognitive impairment using causal models

BACKGROUND: Machine learning models promise to support diagnostic predictions, but may not perform well in new settings. Selecting the best model for a new setting without available data is challenging. We aimed to investigate the transportability by calibration and discrimination of prediction mode...

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Detalles Bibliográficos
Autores principales: Fehr, Jana, Piccininni, Marco, Kurth, Tobias, Konigorski, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439645/
https://www.ncbi.nlm.nih.gov/pubmed/37598141
http://dx.doi.org/10.1186/s12874-023-02003-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439645/
https://www.ncbi.nlm.nih.gov/pubmed/37598141
http://dx.doi.org/10.1186/s12874-023-02003-6

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