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.
Name
hlthaff.2021.01287.pdf
Description
Published version
Size
86.55 KB
Format
Adobe PDF
Checksum (MD5)
c46352d87b73efc42461fbc63890e35f
Author(s)
Gervasi, Stephanie S
Chen, Irene Y
Smith-McLallen, Aaron
Sontag, David
Obermeyer, Ziad
Vennera, Michael
Chawla, Ravi
Date Issued
2022
Journal
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
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1377/HLTHAFF.2021.01287
