Interaction Analysis Based on Shapley Values and Extreme Gradient Boosting: A Realistic Simulation and Application to a Large Epidemiological Prospective Study

BACKGROUND: SHapley Additive exPlanations (SHAP) based on tree-based machine learning methods have been proposed to interpret interactions between exposures in observational studies, but their performance in realistic simulations is seldom evaluated. METHODS: Data from population-based cohorts in Sw...

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Detalles Bibliográficos
Autores principales: Orsini, Nicola, Moore, Alex, Wolk, Alicja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Nutrition
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340268/
https://www.ncbi.nlm.nih.gov/pubmed/35923201
http://dx.doi.org/10.3389/fnut.2022.871768

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340268/
https://www.ncbi.nlm.nih.gov/pubmed/35923201
http://dx.doi.org/10.3389/fnut.2022.871768

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