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Sherri Rose
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2020 – today
- 2024
- [i7]Marika M. Cusick, Glenn M. Chertow, Douglas K. Owens, Michelle Y. Williams, Sherri Rose:
Algorithmic Changes Are Not Enough: Evaluating the Removal of Race Adjustment from the eGFR Equation. CoRR abs/2404.12812 (2024) - 2023
- [j4]Duncan C. McElfresh, Lucia Chen, Elizabeth Oliva, Vilija Joyce, Sherri Rose, Suzanne Tamang
:
A call for better validation of opioid overdose risk algorithms. J. Am. Medical Informatics Assoc. 30(10): 1741-1746 (2023) - 2022
- [j3]Viknesh Sounderajah
Ethics methods are required as part of reporting guidelines for artificial intelligence in healthcare. Nat. Mach. Intell. 4(4): 316-317 (2022) - [c2]Paidamoyo Chapfuwa, Sherri Rose, Lawrence Carin, Edward Meeds, Ricardo Henao:
Capturing actionable dynamics with structured latent ordinary differential equations. UAI 2022: 286-295 - [i6]Paidamoyo Chapfuwa, Sherri Rose, Lawrence Carin, Edward Meeds, Ricardo Henao:
Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations. CoRR abs/2202.12932 (2022) - 2021
- [i5]Anna Zink, Sherri Rose:
Identifying Undercompensated Groups Defined By Multiple Attributes in Risk Adjustment. CoRR abs/2105.08493 (2021) - [i4]Mark J. van der Laan, Sherri Rose:
Why Machine Learning Cannot Ignore Maximum Likelihood Estimation. CoRR abs/2110.12112 (2021) - 2020
- [i3]Irene Y. Chen, Emma Pierson, Sherri Rose, Shalmali Joshi, Kadija Ferryman, Marzyeh Ghassemi:
Ethical Machine Learning in Health Care. CoRR abs/2009.10576 (2020)
2010 – 2019
- 2019
- [i2]Anna Zink, Sherri Rose:
Fair Regression for Health Care Spending. CoRR abs/1901.10566 (2019) - 2018
- [i1]Sherri Rose, Thomas G. McGuire:
Statistical Fit and Algorithmic Fairness in Risk Adjustment for Health Policy. CoRR abs/1803.05513 (2018) - 2017
- [j2]David S. Carrell, Robert E. Schoen, Daniel A. Leffler, Michele Morris, Sherri Rose, Andrew Baer, Seth D. Crockett, Rebecca Gourevitch, Katie M. Dean, Ateev Mehrotra
Challenges in adapting existing clinical natural language processing systems to multiple, diverse health care settings. J. Am. Medical Informatics Assoc. 24(5): 986-991 (2017) - [c1]Savannah L. Bergquist, Gabriel A. Brooks, Nancy L. Keating, Mary Beth Landrum, Sherri Rose:
Classifying Lung Cancer Severity with Ensemble Machine Learning in Health Care Claims Data. MLHC 2017: 25-38 - 2016
- [p1]Sherri Rose:
Targeted Learning for Variable Importance. Handbook of Big Data 2016: 411-427
2000 – 2009
- 2006
- [j1]Shawn Cokus, Sherri Rose, David R. Haynor, Niels Grønbech-Jensen
Modelling the network of cell cycle transcription factors in the yeast Saccharomyces cerevisiae. BMC Bioinform. 7: 381 (2006)
Coauthor Index
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