Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls

PURPOSE: To investigate the impact of the following three methodological pitfalls on model generalizability: (a) violation of the independence assumption, (b) model evaluation with an inappropriate performance indicator or baseline for comparison, and (c) batch effect. MATERIALS AND METHODS: The aut...

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Detalles Bibliográficos
Autores principales: Maleki, Farhad, Ovens, Katie, Gupta, Rajiv, Reinhold, Caroline, Spatz, Alan, Forghani, Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Radiological Society of North America 2022
Materias:
Special Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9885377/
https://www.ncbi.nlm.nih.gov/pubmed/36721408
http://dx.doi.org/10.1148/ryai.220028

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9885377/
https://www.ncbi.nlm.nih.gov/pubmed/36721408
http://dx.doi.org/10.1148/ryai.220028

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