Journal: STROKE
Year: 2020
Article Title: Automated Electronic Phenotyping of Cardioembolic Stroke
Corresponding Author: Dr. Steven Lubitz, slubitz@mgh.harvard.edu
The R scripts used to:
- create a clean corpus,
- extract features associated with cardioembolic stroke, and
- implement machine learning algorithms for data analysis,
are made available and open source in this Github repository for the corresponding journal publication.