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A comparison of approaches to improve worst-case predictive model performance over patient subpopulations.
Sci Rep. 2022 Feb 28;12(1):3254. doi: 10.1038/s41598-022-07167-7.
Sci Rep. 2022.
PMID: 35228563
Free PMC article.
An empirical characterization of fair machine learning for clinical risk prediction.
Pfohl SR, Foryciarz A, Shah NH.
Pfohl SR, et al. Among authors: foryciarz a.
J Biomed Inform. 2021 Jan;113:103621. doi: 10.1016/j.jbi.2020.103621. Epub 2020 Nov 18.
J Biomed Inform. 2021.
PMID: 33220494
Free PMC article.
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Evaluating algorithmic fairness in the presence of clinical guidelines: the case of atherosclerotic cardiovascular disease risk estimation.
Foryciarz A, Pfohl SR, Patel B, Shah N.
Foryciarz A, et al.
BMJ Health Care Inform. 2022 Apr;29(1):e100460. doi: 10.1136/bmjhci-2021-100460.
BMJ Health Care Inform. 2022.
PMID: 35396247
Free PMC article.
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Clinical utility gains from incorporating comorbidity and geographic location information into risk estimation equations for atherosclerotic cardiovascular disease.
Xu Y, Foryciarz A, Steinberg E, Shah NH.
Xu Y, et al. Among authors: foryciarz a.
J Am Med Inform Assoc. 2023 Apr 19;30(5):878-887. doi: 10.1093/jamia/ocad017.
J Am Med Inform Assoc. 2023.
PMID: 36795076
Free PMC article.
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