The Sociodemographic Biases in Machine Learning Algorithms: A Biomedical Informatics Perspective

The Sociodemographic Biases in Machine Learning Algorithms: A Biomedical Informatics Perspective

Artificial intelligence models represented in machine learning algorithms are promising tools for risk assessment used to guide clinical and other health care decisions. Machine learning algorithms, however, may house biases that propagate stereotypes, inequities, and discrimination that contribute...

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Detalhes bibliográficos
Main Authors: Gillian Franklin, Rachel Stephens, Muhammad Piracha, Shmuel Tiosano, Frank Lehouillier, Ross Koppel, Peter L. Elkin
Formato: Artigo
Idioma:English
Publicado em: MDPI AG 2024-05-01
Colecção:Life
Assuntos:
bias
sociodemographic
machine learning
algorithms
artificial intelligence
models
Acesso em linha:https://www.mdpi.com/2075-1729/14/6/652

Internet

https://www.mdpi.com/2075-1729/14/6/652

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