Promising Use of Automated Electronic Phenotyping: Turning Big Data Into Big Value in Stroke Research

Stroke. 2021 Jan;52(1):190-192. doi: 10.1161/STROKEAHA.120.033061. Epub 2020 Dec 10.

Authors

Diana Aguiar de Sousa^{1

2}, Mira Katan^{3

4}

Affiliations

¹ Department of Neurosciences and Mental Health (Neurology), Hospital de Santa Maria-Centro Hospitalar Universitário Lisboa Norte (CHULN), Lisbon, Portugal (D.A.d.S.).
² Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal (D.A.d.S.).
³ Department of Neurology, University Hospital of Zurich, Switzerland (M.K.).
⁴ Neuroscience Center of Zurich, University of Zurich, Switzerland (M.K.).

PMID: 33297867
DOI: 10.1161/STROKEAHA.120.033061

No abstract available

Keywords: Editorials; atrial fibrillation; big data; echocardiography; stroke.

Publication types

Editorial
Comment

MeSH terms

Atrial Fibrillation*
Big Data
Electronics
Embolic Stroke*
Humans
Stroke* / therapy