%0 Conference Paper %1 conf/fat/PfohlXFIGS22 %A Pfohl, Stephen %A Xu, Yizhe %A Foryciarz, Agata %A Ignatiadis, Nikolaos %A Genkins, Julian %A Shah, Nigam %B FAccT %D 2022 %I ACM %K dblp %P 1039-1052 %T Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare. %U http://dblp.uni-trier.de/db/conf/fat/facct2022.html#PfohlXFIGS22 %@ 978-1-4503-9352-2

@inproceedings{conf/fat/PfohlXFIGS22, added-at = {2024-02-05T00:00:00.000+0100}, author = {Pfohl, Stephen and Xu, Yizhe and Foryciarz, Agata and Ignatiadis, Nikolaos and Genkins, Julian and Shah, Nigam}, biburl = {https://www.bibsonomy.org/bibtex/22e7547ec032f1ebef504d9fcec90e476/dblp}, booktitle = {FAccT}, crossref = {conf/fat/2022}, ee = {https://doi.org/10.1145/3531146.3533166}, interhash = {69bbc12b82c86568919bb7dda41ea73b}, intrahash = {2e7547ec032f1ebef504d9fcec90e476}, isbn = {978-1-4503-9352-2}, keywords = {dblp}, pages = {1039-1052}, publisher = {ACM}, timestamp = {2024-04-10T00:37:33.000+0200}, title = {Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare.}, url = {http://dblp.uni-trier.de/db/conf/fat/facct2022.html#PfohlXFIGS22}, year = 2022 }