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...
| Publicado en: | Future Cardiology Vol. 16; no. 1; pp. 43 - 52 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Jan2020
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| Acceso en línea: | Ver este registro en EBSCOhost |