Development, validation, and proof-of-concept implementation of a two-year risk prediction model for undiagnosed atrial fibrillation using common electronic health data (UNAFIED)

Development, validation, and proof-of-concept implementation of a two-year risk prediction model for undiagnosed atrial fibrillation using common electronic health data (UNAFIED)

Abstract Background Many patients with atrial fibrillation (AF) remain undiagnosed despite availability of interventions to reduce stroke risk. Predictive models to date are limited by data requirements and theoretical usage. We aimed to develop a model for predicting the 2-year probability of AF di...

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Bibliographic Details
Main Authors: Randall W. Grout, Siu L. Hui, Timothy D. Imler, Sarah El-Azab, Jarod Baker, George H. Sands, Mohammad Ateya, Francis Pike
Format: Article
Language:English
Published: BMC 2021-04-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Atrial fibrillation
Screening
Machine learning
Predictive model
Electronic health record
Decision support
Online Access:https://doi.org/10.1186/s12911-021-01482-1

Internet

https://doi.org/10.1186/s12911-021-01482-1

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