Sherri Rose

According to our database, Sherri Rose authored at least 12 papers between 2006 and 2023.

Collaborative distances:

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

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 Health Care 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