Potential of machine learning methods to identify patients with nonvalvular atrial fibrillation.

Aim: Nonvalvular atrial fibrillation (NVAF) is associated with an increased risk of stroke however many patients are diagnosed after onset. This study assessed the potential of machine-learning algorithms to detect NVAF. Materials & methods: A retrospective database study using a Japanese claims dat...

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Bibliographic Details

Published in:	Future Cardiology Vol. 16; no. 1; pp. 43 - 52
Main Authors:	Suzuki, Ryoko, Katada, Jun, Ramagopalan, Sreeram, McDonald, Laura
Format:	research tables/charts Journal Article
Published:	Taylor & Francis Ltd Jan2020
Online Access:	View this record in EBSCOhost