Model performances.

<div><p>Recent work in machine learning for healthcare has raised concerns about patient privacy and algorithmic fairness. Previous work has shown that self-reported race can be predicted from medical data that does not explicitly contain racial information. However, the extent of data i...

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Bibliographic Details
Main Author:	Wei Liao (166135) (author)
Other Authors:	Joel Voldman (109682) (author)
Published:	2024
Subjects:	Medicine Biotechnology Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified various comorbidity factors structured latent space also learned representations work thoroughly investigates using different cohorts steer )</ p high predictive performance machine learning models previous work machine learning different tasks variational autoencoder systematically investigated series data sensitive attributes reported race raised concerns protect patient minimally affected medical data lack ways general approach findings pose fairness concerns exists even disentangle patient data identification biological sex binarized age based approach algorithmic fairness
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Model performances.

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