Resampling to address inequities in predictive modeling of suicide deaths

OBJECTIVE: Improve methodology for equitable suicide death prediction when using sensitive predictors, such as race/ethnicity, for machine learning and statistical methods. METHODS: Train predictive models, logistic regression, naive Bayes, gradient boosting (XGBoost) and random forests, using three...

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Detalles Bibliográficos
Autores principales: Reeves, Majerle, Bhat, Harish S, Goldman-Mellor, Sidra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8996002/
https://www.ncbi.nlm.nih.gov/pubmed/35396246
http://dx.doi.org/10.1136/bmjhci-2021-100456

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8996002/
https://www.ncbi.nlm.nih.gov/pubmed/35396246
http://dx.doi.org/10.1136/bmjhci-2021-100456

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