Published on in Vol 21, No 4 (2019): April
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/12437, first published
.
![A Stroke Risk Detection: Improving Hybrid Feature Selection Method A Stroke Risk Detection: Improving Hybrid Feature Selection Method](https://asset.jmir.pub/assets/b2850257acc662564805cefcb6cba279.png 480w,https://asset.jmir.pub/assets/b2850257acc662564805cefcb6cba279.png 960w,https://asset.jmir.pub/assets/b2850257acc662564805cefcb6cba279.png 1920w,https://asset.jmir.pub/assets/b2850257acc662564805cefcb6cba279.png 2500w)
1 Medical Big Data Institute, Software School, North University of China, Taiyuan, China
2 Department of Business Information Systems and Operations Research, Belk School of Business, University of North Carolina, Charlotte, NC, United States
*all authors contributed equally