The Problem of Fairness in Synthetic Healthcare Data.

Bhanot K, Qi M, Erickson JS, Guyon I, Bennett KP.

Open source

DOI: 10.3390/e23091165
Published: 2021-09-04
Container: Entropy (Basel)
Publisher: Not recorded
Open access: yes

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uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

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Cite this work

BibTeX

@article{allodium:10.3390/e23091165,
  title = {The Problem of Fairness in Synthetic Healthcare Data.},
  author = {Bhanot K and  Qi M and  Erickson JS and  Guyon I and  Bennett KP.},
  year = {2021},
  journal = {Entropy (Basel)},
  doi = {10.3390/e23091165},
  url = {https://doi.org/10.3390/e23091165}
}

RIS

TY  - JOUR
TI  - The Problem of Fairness in Synthetic Healthcare Data.
AU  - Bhanot K
AU  -  Qi M
AU  -  Erickson JS
AU  -  Guyon I
AU  -  Bennett KP.
PY  - 2021
JO  - Entropy (Basel)
DO  - 10.3390/e23091165
UR  - https://doi.org/10.3390/e23091165
ER  -

APA

K, B., M, Q., JS, E., I, G., & KP., B. (2021). The Problem of Fairness in Synthetic Healthcare Data.. Entropy (Basel). https://doi.org/10.3390/e23091165

Source records

europe-pmc · retrieved 2026-09-25T06:54:54.208Z
doaj · retrieved 2026-09-25T06:54:54.218Z