Development, validation and recalibration of a prediction model for prediabetes: an EHR and NHANES-based study

Development, validation and recalibration of a prediction model for prediabetes: an EHR and NHANES-based study

Abstract Background A prediction model that estimates the risk of elevated glycated hemoglobin (HbA1c) was developed from electronic health record (EHR) data to identify adult patients at risk for prediabetes who may otherwise go undetected. We aimed to assess the internal performance of a new penal...

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Bibliographic Details
Main Authors: Nicholas J. Casacchia, Kristin M. Lenoir, Joseph Rigdon, Brian J. Wells
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Electronic health records
NHANES
Prediabetes
Prediction model
Logistic regression
LASSO
Online Access:https://doi.org/10.1186/s12911-024-02803-w

Internet

https://doi.org/10.1186/s12911-024-02803-w

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