%0 Journal Article %1 pfohl2021comparison %A Pfohl, Stephen R %A Zhang, Haoran %A Xu, Yizhe %A Foryciarz, Agata %A Ghassemi, Marzyeh %A Shah, Nigam H %D 2021 %J arXiv preprint arXiv:2108.12250 %K subgroups subgroup comparison benchmark learning %T A comparison of approaches to improve worst-case predictive model performance over patient subpopulations

@article{pfohl2021comparison, added-at = {2022-01-21T03:05:47.000+0100}, author = {Pfohl, Stephen R and Zhang, Haoran and Xu, Yizhe and Foryciarz, Agata and Ghassemi, Marzyeh and Shah, Nigam H}, biburl = {https://www.bibsonomy.org/bibtex/2e604455712c965c7a1bc555adc9d835b/becker}, interhash = {b0215069f60b9096a27ff39851d15b17}, intrahash = {e604455712c965c7a1bc555adc9d835b}, journal = {arXiv preprint arXiv:2108.12250}, keywords = {subgroups subgroup comparison benchmark learning}, timestamp = {2022-01-21T03:05:47.000+0100}, title = {A comparison of approaches to improve worst-case predictive model performance over patient subpopulations}, year = 2021 }