Embracing cohort heterogeneity in clinical machine learning development: a step toward generalizable models

This study is a simple illustration of the benefit of averaging over cohorts, rather than developing a prediction model from a single cohort. We show that models trained on data from multiple cohorts can perform significantly better in new settings than models based on the same amount of training da...

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Detalles Bibliográficos
Autores principales: Schinkel, Michiel, Bennis, Frank C., Boerman, Anneroos W., Wiersinga, W. Joost, Nanayakkara, Prabath W. B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209202/
https://www.ncbi.nlm.nih.gov/pubmed/37225751
http://dx.doi.org/10.1038/s41598-023-35557-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209202/
https://www.ncbi.nlm.nih.gov/pubmed/37225751
http://dx.doi.org/10.1038/s41598-023-35557-y

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