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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
, Melissa D. McCradden, Xiaoxuan Liu
, Sherri Rose, Hutan Ashrafian
, Gary S. Collins
, James A. Anderson, Patrick M. Bossuyt, David Moher
, Ara Darzi
:
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
, Matteo Pellegrini
:
Modelling the network of cell cycle transcription factors in the yeast Saccharomyces cerevisiae. BMC Bioinform. 7: 381 (2006)
Coauthor Index
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last updated on 2024-08-05 21:21 CEST by the dblp team
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