Sherri Rose

According to our database, Sherri Rose authored at least 16 papers between 2006 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Causal modeling of chronic kidney disease in a participatory framework for informing the inclusion of social drivers in health algorithms.

Agata Foryciarz, Neha Srivathsa, Oshra Sedan, Lisa Goldman-Rosas, Sherri Rose

J. Am. Medical Informatics Assoc., 2026

2025

Penalized Fair Regression for Multiple Groups in Chronic Kidney Disease.

Carter H. Nakamoto, Lucia Lushi Chen, Agata Foryciarz, Sherri Rose

CoRR, December, 2025

Incorporating area-level social drivers of health in predictive algorithms using electronic health record data.

Agata Foryciarz, Nicole Gladish, David H. Rehkopf, Sherri Rose

J. Am. Medical Informatics Assoc., 2025

2024

Algorithmic Changes Are Not Enough: Evaluating the Removal of Race Adjustment From the eGFR Equation.

Marika M. Cusick, Glenn M. Chertow, Douglas K. Owens, Michelle Y. Williams, Sherri Rose

Proceedings of the Conference on Health, 2024

2023

A call for better validation of opioid overdose risk algorithms.

Duncan C. McElfresh, Lucia Chen, Elizabeth Oliva, Vilija Joyce, Sherri Rose, Suzanne Tamang

J. Am. Medical Informatics Assoc., September, 2023

2022

Ethics methods are required as part of reporting guidelines for artificial intelligence in healthcare.

Viknesh Sounderajah, Melissa D. McCradden, Xiaoxuan Liu, Sherri Rose, Hutan Ashrafian, Gary S. Collins, James A. Anderson, Patrick M. Bossuyt, David Moher, Ara Darzi

Nat. Mach. Intell., 2022

Capturing actionable dynamics with structured latent ordinary differential equations.

Paidamoyo Chapfuwa, Sherri Rose, Lawrence Carin, Edward Meeds, Ricardo Henao

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

Why Machine Learning Cannot Ignore Maximum Likelihood Estimation.

Mark J. van der Laan, Sherri Rose

CoRR, 2021

Identifying Undercompensated Groups Defined By Multiple Attributes in Risk Adjustment.

Anna Zink, Sherri Rose

CoRR, 2021

2020

Ethical Machine Learning in Health Care.

Irene Y. Chen, Emma Pierson, Sherri Rose, Shalmali Joshi, Kadija Ferryman, Marzyeh Ghassemi

CoRR, 2020

2019

Fair Regression for Health Care Spending.

Anna Zink, Sherri Rose

CoRR, 2019

2018

Statistical Fit and Algorithmic Fairness in Risk Adjustment for Health Policy.

Sherri Rose, Thomas G. McGuire

CoRR, 2018

2017

Challenges in adapting existing clinical natural language processing systems to multiple, diverse health care settings.

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

J. Am. Medical Informatics Assoc., 2017

Classifying Lung Cancer Severity with Ensemble Machine Learning in Health Care Claims Data.

Savannah L. Bergquist, Gabriel A. Brooks, Nancy L. Keating, Mary Beth Landrum, Sherri Rose

Proceedings of the Machine Learning for Healthcare Conference, 2017

2016

Targeted Learning for Variable Importance.

Sherri Rose

Proceedings of the Handbook of Big Data., 2016

2006

Modelling the network of cell cycle transcription factors in the yeast <i>Saccharomyces cerevisiae</i>.

Shawn Cokus, Sherri Rose, David R. Haynor, Niels Grønbech-Jensen, Matteo Pellegrini

BMC Bioinform., 2006