Davis, Sharon E

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

Davis, S. E., Lasko, T. A., Chen, G., Siew, E. D., & Matheny, M. E. (2017) · Journal of the American Medical Informatics Association

Acute Kidney Injury ResearchMachine Learning in Healthcare

Cited by 312

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

Davis, S. E., Greevy, R. A., Lasko, T. A., Walsh, C. G., & Matheny, M. E. (2020) · Journal of Biomedical Informatics

Machine Learning in HealthcareData Stream Mining Techniques

Cited by 160

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

Davis, S. E., Embí, P. J., & Matheny, M. E. (2024) · Journal of the American Medical Informatics Association

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 46

Emerging algorithmic bias: fairness drift as the next dimension of model maintenance and sustainability

Davis, S. E., Dorn, C., Park, D. J., & Matheny, M. E. (2025) · Journal of the American Medical Informatics Association

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 43

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

Davis, S. E., Walsh, C. G., & Matheny, M. E. (2022) · Frontiers in Digital Health

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 33