Title
Detection of calibration drift in clinical prediction models to inform model updating
Abstract
•A framework to detect calibration drift and inform updating of prediction models.•Incorporates generalizable, customizable methods for diverse models and use cases.•Provides data-driven guidance on the timing of and data to be used for model updates.•Evaluations highlight accuracy of detected drift and relevancy of returned data.
Year
DOI
Venue
2020
10.1016/j.jbi.2020.103611
Journal of Biomedical Informatics
Keywords
DocType
Volume
Predictive analytics,Calibration,Drift detection,Model updating
Journal
112
ISSN
Citations 
PageRank 
1532-0464
1
0.37
References 
Authors
0
5
Name
Order
Citations
PageRank
Sharon E Davis121.07
Robert A Greevy221.41
Thomas A. Lasko319420.36
Colin Walsh4236.12
Michael E. Matheny520233.36