Published on in Vol 10, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32508, first published .
Machine Learning Models for Predicting Influential Factors of Early Outcomes in Acute Ischemic Stroke: Registry-Based Study

Machine Learning Models for Predicting Influential Factors of Early Outcomes in Acute Ischemic Stroke: Registry-Based Study

Machine Learning Models for Predicting Influential Factors of Early Outcomes in Acute Ischemic Stroke: Registry-Based Study

Po-Yuan Su   1 * , MSc ;   Yi-Chia Wei   2, 3, 4 * , MD ;   Hao Luo   1 , MSc ;   Chi-Hung Liu   5, 6 , MD, MSc ;   Wen-Yi Huang   2, 6 , MD, PhD ;   Kuan-Fu Chen   7, 8 , MD, PhD ;   Ching-Po Lin   3 , PhD ;   Hung-Yu Wei   1 * , PhD ;   Tsong-Hai Lee   5, 6 * , MD

1 Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan

2 Department of Neurology, Chang Gung Memorial Hospital, Keelung, Taiwan

3 Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan

4 Community Medicine Research Center, Chang Gung Memorial Hospital, Keelung, Taiwan

5 Department of Neurology, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan

6 College of Medicine, Chang Gung University, Taoyuan, Taiwan

7 Clinical Informatics and Medical Statistics Research Center, Chung Gung University, Taoyuan, Taiwan

8 Department of Emergency, Chang Gung Memorial Hospital, Keelung, Taiwan

*these authors contributed equally

Corresponding Author:

  • Hung-Yu Wei, PhD
  • Department of Electrical Engineering
  • National Taiwan University
  • EE2-238, No. 1, Sec. 4, Roosevelt Rd.
  • Taipei, 106
  • Taiwan
  • Phone: 886 2-33663688
  • Email: hywei@ntu.edu.tw