Comparison of Methods to Reduce Bias From Clinical Prediction Models of Postpartum Depression

IMPORTANCE: The lack of standards in methods to reduce bias for clinical algorithms presents various challenges in providing reliable predictions and in addressing health disparities. OBJECTIVE: To evaluate approaches for reducing bias in machine learning models using a real-world clinical scenario....

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Detalles Bibliográficos
Autores principales: Park, Yoonyoung, Hu, Jianying, Singh, Moninder, Sylla, Issa, Dankwa-Mullan, Irene, Koski, Eileen, Das, Amar K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2021
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8050742/
https://www.ncbi.nlm.nih.gov/pubmed/33856478
http://dx.doi.org/10.1001/jamanetworkopen.2021.3909

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8050742/
https://www.ncbi.nlm.nih.gov/pubmed/33856478
http://dx.doi.org/10.1001/jamanetworkopen.2021.3909

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