Article

A nationwide deep learning pipeline to predict stroke and COVID-19 death in atrial fibrillation

2021-12-21

Abstract excerpt

<h4>ABSTRACT</h4> Deep learning (DL) and machine learning (ML) models trained on long-term patient trajectories held as medical codes in electronic health records (EHR) have the potential to improve disease prediction. Anticoagulant prescribing decisions in atrial fibrillation (AF) offer a use case where the benchmark stroke risk prediction tool (CHA 2 DS 2 -VASc) could be meaningfully improved by including more i...

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Literature Corpus work: 7a0dff0c-7fcd-58d8-8d68-043d6297b6ba
DOI: 10.1101/2021.12.20.21268113

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