Using machine learning to predict anticoagulation control in atrial fibrillation: A UK Clinical Practice Research Datalink study

Using machine learning to predict anticoagulation control in atrial fibrillation: A UK Clinical Practice Research Datalink study

Objective: To investigate the predictive performance of machine learning (ML) algorithms for estimating anticoagulation control in patients with atrial fibrillation (AF) who are treated with warfarin. Methods: This was a retrospective cohort study of adult patients (≥18 years) between 2007 and 2016...

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Bibliographic Details
Main Authors: Jason Gordon, Max Norman, Michael Hurst, Thomas Mason, Carissa Dickerson, Belinda Sandler, Kevin G. Pollock, Usman Farooqui, Lara Groves, Carmen Tsang, David Clifton, Ameet Bakhai, Nathan R. Hill
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Machine learning
Unsupervised learning
Atrial fibrillation
Warfarin
Anticoagulation control
International normalised ratio
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914821001726

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http://www.sciencedirect.com/science/article/pii/S2352914821001726

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