"Assessing socioeconomic bias in machine learning algorithms in health ..."

Young J. Juhn et al. (2022)

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DOI: 10.1093/JAMIA/OCAC052

access: closed

type: Journal Article

metadata version: 2022-07-25

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  - https://dblp.org/rec/journals/jamia/JuhnRWKMRWSSH22
Young J. Juhn, Euijung Ryu, Chung-Il Wi, Katherine S. King, Momin M. Malik, Santiago Romero-Brufau, Chunhua Weng, Sunghwan Sohn, Richard R. Sharp, John D. Halamka:
Assessing socioeconomic bias in machine learning algorithms in health care: a case study of the HOUSES index. J. Am. Medical Informatics Assoc. 29(7): 1142-1151 (2022)

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