The Potential For Bias In Machine Learning And Opportunities For Health Insurers To Address It: Article examines the potential for bias in machine learning and opportunities for health insurers to address it.
Author(s)
Gervasi, Stephanie S; Chen, Irene Y; Smith-McLallen, Aaron; Sontag, David; Obermeyer, Ziad; Vennera, Michael; Chawla, Ravi; ... Show more Show less
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Show full item recordDate issued
2022Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence LaboratoryJournal
Health Affairs
Publisher
Health Affairs (Project Hope)
Citation
Gervasi, Stephanie S, Chen, Irene Y, Smith-McLallen, Aaron, Sontag, David, Obermeyer, Ziad et al. 2022. "The Potential For Bias In Machine Learning And Opportunities For Health Insurers To Address It: Article examines the potential for bias in machine learning and opportunities for health insurers to address it.." Health Affairs, 41 (2).
Version: Final published version