Predicting diabetes clinical outcomes using longitudinal risk factor trajectories

Predicting diabetes clinical outcomes using longitudinal risk factor trajectories

Abstract Background The ubiquity of electronic health records (EHR) offers an opportunity to observe trajectories of laboratory results and vital signs over long periods of time. This study assessed the value of risk factor trajectories available in the electronic health record to predict incident t...

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Bibliographic Details
Main Authors: Gyorgy J. Simon, Kevin A. Peterson, M. Regina Castro, Michael S. Steinbach, Vipin Kumar, Pedro J. Caraballo
Format: Article
Language:English
Published: BMC 2020-01-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Diabetes
Diabetes trajectories
Risk assessment
Prediabetes
Online Access:https://doi.org/10.1186/s12911-019-1009-3

Internet

https://doi.org/10.1186/s12911-019-1009-3

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