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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Những tác giả chính: Gillian Franklin, Rachel Stephens, Muhammad Piracha, Shmuel Tiosano, Frank Lehouillier, Ross Koppel, Peter L. Elkin
Định dạng: Bài viết
Ngôn ngữ:English
Được phát hành: MDPI AG 2024-05-01
Loạt:Life
Những chủ đề:
bias
sociodemographic
machine learning
algorithms
artificial intelligence
models
Truy cập trực tuyến:https://www.mdpi.com/2075-1729/14/6/652

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

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