Investigating for bias in healthcare algorithms: a sex-stratified analysis of supervised machine learning models in liver disease prediction

OBJECTIVES: The Indian Liver Patient Dataset (ILPD) is used extensively to create algorithms that predict liver disease. Given the existing research describing demographic inequities in liver disease diagnosis and management, these algorithms require scrutiny for potential biases. We address this ov...

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Detalles Bibliográficos
Autores principales: Straw, Isabel, Wu, Honghan
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/PMC9039354/
https://www.ncbi.nlm.nih.gov/pubmed/35470133
http://dx.doi.org/10.1136/bmjhci-2021-100457

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9039354/
https://www.ncbi.nlm.nih.gov/pubmed/35470133
http://dx.doi.org/10.1136/bmjhci-2021-100457

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