An Online Tool for Correcting Performance Measures of Electronic Phenotyping Algorithms for Verification Bias

An Online Tool for Correcting Performance Measures of Electronic Phenotyping Algorithms for Verification Bias

Objectives Computable or electronic phenotypes of patient conditions are becoming more commonplace in quality improvement and clinical research. During phenotyping algorithm validation, standard classification performance measures (i.e., sensitivity, specificity, positive predictive value...

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Bibliographic Details
Main Authors: Ajay Bhasin, Sue Bielinski, Abel N. Kho, Nicholas Larson, Laura J. Rasmussen-Torvik
Format: Article
Language:English
Published: Georg Thieme Verlag KG 2024-07-01
Series:ACI Open
Subjects:
data analysis
evaluation
system improvement
statistical methods
data collection
Online Access:http://www.thieme-connect.de/DOI/DOI?10.1055/a-2402-5937
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