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Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review.

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Title: Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review.
Authors: Birdi, Sharon1 (AUTHOR), Rabet, Roxana1 (AUTHOR), Durant, Steve1 (AUTHOR), Patel, Atushi1 (AUTHOR), Vosoughi, Tina1 (AUTHOR), Shergill, Mahek1,2 (AUTHOR), Costanian, Christy1 (AUTHOR), Ziegler, Carolyn P.3 (AUTHOR), Ali, Shehzad4,5,6 (AUTHOR), Buckeridge, David7 (AUTHOR), Ghassemi, Marzyeh8 (AUTHOR), Gibson, Jennifer9 (AUTHOR), John-Baptiste, Ava10 (AUTHOR), Macklin, Jillian1,11 (AUTHOR), McCradden, Melissa12,13,14 (AUTHOR), McKenzie, Kwame15,16 (AUTHOR), Mishra, Sharmistha17,18,19,20,21 (AUTHOR), Naraei, Parisa22 (AUTHOR), Owusu-Bempah, Akwasi23 (AUTHOR), Rosella, Laura12,24,25,26 (AUTHOR)
Source: BMC Public Health. 12/28/2024, Vol. 24 Issue 1, p1-16. 16p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22BMC+Public+Health%22">BMC Public Health</searchLink>. 12/28/2024, Vol. 24 Issue 1, p1-16. 16p.
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