Assessing socioeconomic bias in machine learning algorithms in health care: a case study of the HOUSES index

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. JAMIA, 29(7):1142-1151, 2022. [doi]

@article{JuhnRWKMRWSSH22,
  title = {Assessing socioeconomic bias in machine learning algorithms in health care: a case study of the HOUSES index},
  author = {Young J. Juhn and Euijung Ryu and Chung-Il Wi and Katherine S. King and Momin M. Malik and Santiago Romero-Brufau and Chunhua Weng and Sunghwan Sohn and Richard R. Sharp and John D. Halamka},
  year = {2022},
  doi = {10.1093/jamia/ocac052},
  url = {https://doi.org/10.1093/jamia/ocac052},
  researchr = {https://researchr.org/publication/JuhnRWKMRWSSH22},
  cites = {0},
  citedby = {0},
  journal = {JAMIA},
  volume = {29},
  number = {7},
  pages = {1142-1151},
}