This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1407) Decision Support for Health Professionals (1185) Stroke (163)

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

A Stroke Risk Detection: Improving Hybrid Feature Selection Method

Authors of this article:

Yonglai Zhang1 Author Orcid Image ;   Yaojian Zhou1 Author Orcid Image ;   Dongsong Zhang2 Author Orcid Image ;   Wenai Song1 Author Orcid Image
Article Authors Cited by (22) Tweetations (2) Metrics

Yonglai Zhang   1 * , PhD ;   Yaojian Zhou   1 * , PhD ;   Dongsong Zhang   2 * , PhD ;   Wenai Song   1 * , PhD

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

Corresponding Author:

  • Yaojian Zhou, PhD
  • Medical Big Data Institute
  • Software School
  • North University of China
  • 3 Xueyuan St.
  • Taiyuan, 030051
  • China
  • Phone: 86 3923450
  • Email: zhouyj@nuc.edu.cn