[HTML][HTML] An empirical characterization of fair machine learning for clinical risk prediction
The use of machine learning to guide clinical decision making has the potential to worsen
existing health disparities. Several recent works frame the problem as that of algorithmic …
existing health disparities. Several recent works frame the problem as that of algorithmic …
[HTML][HTML] An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction
SR Pfohl, A Foryciarz, NH Shah - Journal of biomedical informatics, 2021 - ncbi.nlm.nih.gov
The use of machine learning to guide clinical decision making has the potential to worsen
existing health disparities. Several recent works frame the problem as that of algorithmic …
existing health disparities. Several recent works frame the problem as that of algorithmic …
An empirical characterization of fair machine learning for clinical risk prediction
SR Pfohl, A Foryciarz, NH Shah - 2021 - dl.acm.org
The use of machine learning to guide clinical decision making has the potential to worsen
existing health disparities. Several recent works frame the problem as that of algorithmic …
existing health disparities. Several recent works frame the problem as that of algorithmic …
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction
SR Pfohl, A Foryciarz, NH Shah - arXiv preprint arXiv:2007.10306, 2020 - arxiv.org
The use of machine learning to guide clinical decision making has the potential to worsen
existing health disparities. Several recent works frame the problem as that of algorithmic …
existing health disparities. Several recent works frame the problem as that of algorithmic …
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction
SR Pfohl, A Foryciarz, NH Shah - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
The use of machine learning to guide clinical decision making has the potential to worsen
existing health disparities. Several recent works frame the problem as that of algorithmic …
existing health disparities. Several recent works frame the problem as that of algorithmic …
An empirical characterization of fair machine learning for clinical risk prediction
SR Pfohl, A Foryciarz, NH Shah - Journal of biomedical …, 2021 - pubmed.ncbi.nlm.nih.gov
The use of machine learning to guide clinical decision making has the potential to worsen
existing health disparities. Several recent works frame the problem as that of algorithmic …
existing health disparities. Several recent works frame the problem as that of algorithmic …
[PDF][PDF] An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction
SR Pfohl, A Foryciarz, NH Shah - ohdsi.org
The use of machine learning to guide clinical decision making has the potential to worsen
existing health disparities. Several recent works frame the problem as that of algorithmic …
existing health disparities. Several recent works frame the problem as that of algorithmic …
An empirical characterization of fair machine learning for clinical risk prediction.
SR Pfohl, A Foryciarz, NH Shah - Journal of Biomedical Informatics, 2020 - europepmc.org
The use of machine learning to guide clinical decision making has the potential to worsen
existing health disparities. Several recent works frame the problem as that of algorithmic …
existing health disparities. Several recent works frame the problem as that of algorithmic …