Sharon E. Davis

According to our database, Sharon E. Davis authored at least 23 papers between 2015 and 2025.

Collaborative distances:

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

2025

A machine learning framework to adjust for learning effects in medical device safety evaluation.

Jejo D. Koola, Karthik Ramesh, Jialin Mao, Minyoung Ahn, Sharon E. Davis, Usha Govindarajulu, Amy Perkins, Dax M. Westerman, Henry Ssemaganda, Theodore Speroff, Lucila Ohno-Machado, Craig Ramsay, Art Sedrakyan, Frederic S. Resnic, Michael E. Matheny

J. Am. Medical Informatics Assoc., 2025

2024

Sustainable deployment of clinical prediction tools - a 360° approach to model maintenance.

Sharon E. Davis, Peter J. Embí, Michael E. Matheny

J. Am. Medical Informatics Assoc., 2024

2023

A framework for understanding label leakage in machine learning for health care.

Sharon E. Davis, Michael E. Matheny, Suresh Balu, Mark P. Sendak

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

2022

Open questions and research gaps for monitoring and updating AI-enabled tools in clinical settings.

Sharon E. Davis, Colin G. Walsh, Michael E. Matheny

Frontiers Digit. Health, 2022

Disentangling and Characterizing Device Safety Signals and Learning Effects.

Henry Ssemaganda, Frederic S. Resnic, Sharon E. Davis, Usha Govindarajulu, Jejo Koola, Jialin Mao, Dax M. Westerman, Theodore Speroff, Craig Ramsay, Art Sedrakyan, Lucila Ohno-Machado, Michael E. Matheny

Proceedings of the AMIA 2022, 2022

A Framework for Detecting Medical Device Safety Signals Confounded by Learning Effects Using Machine Learning.

Jejo D. Koola, Jialin Mao, Sharon E. Davis, Henry Ssemaganda, Dax M. Westerman, Lucila Ohno-Machado, Frederic S. Resnic, Michael E. Matheny

Proceedings of the AMIA 2022, 2022

A Framework for Generating Synthetic Clinical Datasets with Learning Effects to Support Methods Development and Validation.

Sharon E. Davis, Henry Ssemaganda, Jejo Koola, Jialin Mao, Dax M. Westerman, Theodore Speroff, Usha Govindarajulu, Craig Ramsay, Lucila Ohno-Machado, Frederic S. Resnic, Michael E. Matheny

Proceedings of the AMIA 2022, 2022

2021

Disparities in Coded and Imputed Post-Traumatic Stress Disorder and Self-Harm Among US Veterans.

Sharon E. Davis, Praveen Kumar, Nicolas R. Lauve, Sharidan K. Parr, Daniel Park, Michael E. Matheny, Gerardo Villarreal, George Uhl, Yiliang Zhu, Mauricio Tohen, Douglas J. Perkins, Christophe G. Lambert

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Detection of calibration drift in clinical prediction models to inform model updating.

Sharon E. Davis, Robert A. Greevy Jr., Thomas A. Lasko, Colin G. Walsh, Michael E. Matheny

J. Biomed. Informatics, 2020

A Surveillance Framework for Monitoring and Updating Clinical Prediction Models.

Sharon E. Davis, Robert A. Greevy Jr., Thomas A. Lasko, Colin G. Walsh, Michael E. Matheny

Proceedings of the AMIA 2020, 2020

2019

A nonparametric updating method to correct clinical prediction model drift.

Sharon E. Davis, Robert A. Greevy Jr., Christopher Fonnesbeck, Thomas A. Lasko, Colin G. Walsh, Michael E. Matheny

J. Am. Medical Informatics Assoc., 2019

Comparison of Prediction Model Performance Updating Protocols: Using a Data-Driven Testing Procedure to Guide Updating.

Sharon E. Davis, Robert A. Greevy Jr., Thomas A. Lasko, Colin G. Walsh, Michael E. Matheny

Proceedings of the AMIA 2019, 2019

2018

Development of an automated phenotyping algorithm for hepatorenal syndrome.

Jejo D. Koola, Sharon E. Davis, Omar Al-Nimri, Sharidan K. Parr, Daniel Fabbri, Bradley A. Malin, Samuel B. Ho, Michael E. Matheny

J. Biomed. Informatics, 2018

Developing a Testing Procedure to Select Model Updating Methods.

Sharon E. Davis, Robert A. Greevy Jr., Michael E. Matheny

Proceedings of the AMIA 2018, 2018

2017

Calibration drift in regression and machine learning models for acute kidney injury.

Sharon E. Davis, Thomas A. Lasko, Guanhua Chen, Edward D. Siew, Michael E. Matheny

J. Am. Medical Informatics Assoc., 2017

Long-term Patterns of Patient Portal Use for Pediatric Patients at an Academic Medical Center.

Robert M. Cronin, Sharon E. Davis, Ellen Yan, Gretchen P. Jackson, Bryan D. Steitz

Appl. Clin. Inform., 2017

Machine Learning Models to Predict Readmission for Patients with Cirrhosis.

Jejo D. Koola, Aize Cao, Guanhua Chen, Amy Perkins, Samuel B. Ho, Sharon E. Davis, Michael E. Matheny

Proceedings of the AMIA 2017, 2017

Calibration Drift Among Regression and Machine Learning Models for Hospital Mortality.

Sharon E. Davis, Thomas A. Lasko, Guanhua Chen, Michael E. Matheny

Proceedings of the AMIA 2017, 2017

2016

Using a Multilayer Self-Organizing Map for Risk Prediction in Hepatorenal Syndrome.

Jejo D. Koola, Sharon E. Davis, Samuel B. Ho, Michael E. Matheny

Proceedings of the Summit on Clinical Research Informatics, 2016

Calibration Drift of Clinical Prediction Models Across Modeling Methods.

Sharon E. Davis, Thomas A. Lasko, Guanhua Chen, Michael E. Matheny

Proceedings of the Summit on Clinical Research Informatics, 2016

Use of a Patient Portal During Hospital Admissions to Surgical Services.

Jamie R. Robinson, Sharon E. Davis, Robert M. Cronin, Gretchen Purcell Jackson

Proceedings of the AMIA 2016, 2016

Adoption of Secure Messaging in a Patient Portal across Pediatric Specialties.

Mary Masterman, Robert M. Cronin, Sharon E. Davis, Jared A. Shenson, Gretchen Purcell Jackson

Proceedings of the AMIA 2016, 2016

2015

Health Literacy, Education Levels, and Patient Portal Usage During Hospitalizations.

Sharon E. Davis, Chandra Y. Osborn, Sunil Kripalani, Kathryn Goggins, Gretchen Purcell Jackson

Proceedings of the AMIA 2015, 2015