A bias evaluation checklist for predictive models and its pilot application for 30-day hospital readmission models

OBJECTIVE: Health care providers increasingly rely upon predictive algorithms when making important treatment decisions, however, evidence indicates that these tools can lead to inequitable outcomes across racial and socio-economic groups. In this study, we introduce a bias evaluation checklist that...

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Detalles Bibliográficos
Autores principales: Wang, H Echo, Landers, Matthew, Adams, Roy, Subbaswamy, Adarsh, Kharrazi, Hadi, Gaskin, Darrell J, Saria, Suchi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9277650/
https://www.ncbi.nlm.nih.gov/pubmed/35579328
http://dx.doi.org/10.1093/jamia/ocac065

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9277650/
https://www.ncbi.nlm.nih.gov/pubmed/35579328
http://dx.doi.org/10.1093/jamia/ocac065

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