Evaluating gender bias in ML-based clinical risk prediction models: A study on multiple use cases at different hospitals.

Nikolai Hulde

Patricia Cabanillas Silva Hong Sun 0001 Pablo Rodríguez-Brazzarola Mohamed Rezk Xianchao Zhang 0002 Janis Fliegenschmidt Nikolai Hulde Vera von Dossow Laurent Meesseman Kristof Depraetere Ralph Szymanowsky Jörg Stieg Fried-Michael Dahlweid Evaluating gender bias in ML-based clinical risk prediction models: A study on multiple use cases at different hospitals. 104692 2024 157 J. Biomed. Informatics https://doi.org/10.1016/j.jbi.2024.104692 db/journals/jbi/jbi157.html#SilvaSRRZFHDMDSSD24 streams/journals/jbi

Hong Sun 0001 Kristof Depraetere Laurent Meesseman Jos De Roo Martijn Vanbiervliet Jos De Baerdemaeker Herman Muys Vera von Dossow Nikolai Hulde Ralph Szymanowsky A scalable approach for developing clinical risk prediction applications in different hospitals. 103783 2021 118 J. Biomed. Informatics https://doi.org/10.1016/j.jbi.2021.103783 db/journals/jbi/jbi118.html#SunDMRVBMDHS21

Hong Sun Kristof Depraetere Laurent Meesseman Jos De Roo Martijn Vanbiervliet Jos De Baerdemaeker Herman Muys Vera von Dossow Nikolai Hulde Ralph Szymanowsky A scalable approach for developing clinical risk prediction applications in different hospitals. 2021 abs/2101.10268 CoRR https://arxiv.org/abs/2101.10268 db/journals/corr/corr2101.html#abs-2101-10268

Jos De Baerdemaeker Fried-Michael Dahlweid Kristof Depraetere Vera von Dossow Janis Fliegenschmidt Laurent Meesseman Herman Muys Mohamed Rezk Pablo Rodríguez-Brazzarola Jos De Roo Patricia Cabanillas Silva Jörg Stieg Hong Sun Hong Sun 0001 Ralph Szymanowsky Martijn Vanbiervliet Xianchao Zhang 0002