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Increasing transparency in machine learning through bootstrap simulation and shapely additive explanations

Machine learning methods are widely used within the medical field. However, the reliability and efficacy of these models is difficult to assess, making it difficult for researchers to identify which machine-learning model to apply to their dataset. We assessed whether variance calculations of model...

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Detalles Bibliográficos
Autores principales: Huang, Alexander A., Huang, Samuel Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9949629/
https://www.ncbi.nlm.nih.gov/pubmed/36821544
http://dx.doi.org/10.1371/journal.pone.0281922

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