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Interpretable machine learning prediction of all-cause mortality

BACKGROUND: Unlike linear models which are traditionally used to study all-cause mortality, complex machine learning models can capture non-linear interrelations and provide opportunities to identify unexplored risk factors. Explainable artificial intelligence can improve prediction accuracy over li...

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Detalles Bibliográficos
Autores principales:	Qiu, Wei, Chen, Hugh, Dincer, Ayse Berceste, Lundberg, Scott, Kaeberlein, Matt, Lee, Su-In
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9530124/ https://www.ncbi.nlm.nih.gov/pubmed/36204043 http://dx.doi.org/10.1038/s43856-022-00180-x

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