Why federated learning will do little to overcome the deeply embedded biases in clinical medicine

Author(s)
Sauer, Christopher Martin; Pucher, Gernot; Celi, Leo Anthony
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Date issued
2024-06-03
URI
https://hdl.handle.net/1721.1/155222
Department
Harvard--MIT Program in Health Sciences and Technology. Laboratory for Computational Physiology
Journal
Intensive Care Medicine
Publisher
Springer Science and Business Media LLC
Citation
Sauer, C.M., Pucher, G. & Celi, L.A. Why federated learning will do little to overcome the deeply embedded biases in clinical medicine. Intensive Care Med (2024).
Version: Final published version
ISSN
0342-4642
1432-1238
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