Evaluating gender bias in ML-based clinical risk prediction models: A study on multiple use cases at different hospitals
Titel:
Evaluating gender bias in ML-based clinical risk prediction models: A study on multiple use cases at different hospitals
Auteur:
Cabanillas Silva, Patricia Sun, Hong Rodriguez-Brazzarola, Pablo Rezk, Mohamed Zhang, Xianchao Fliegenschmidt, Janis Hulde, Nikolai von Dossow, Vera Meesseman, Laurent Depraetere, Kristof Szymanowsky, Ralph Stieg, Jörg Dahlweid, Fried-Michael