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

Clinical Information and Decision Making (1328) Decision Support for Health Professionals (1137) Machine Learning (1385)

Published on in Vol 19, No 4 (2017): April

Use of Machine Learning Classifiers and Sensor Data to Detect Neurological Deficit in Stroke Patients

Use of Machine Learning Classifiers and Sensor Data to Detect Neurological Deficit in Stroke Patients

Use of Machine Learning Classifiers and Sensor Data to Detect Neurological Deficit in Stroke Patients

Authors of this article:

Eunjeong Park1 Author Orcid Image ;   Hyuk-Jae Chang2 Author Orcid Image ;   Hyo Suk Nam3 Author Orcid Image
Article Authors Cited by (23) Tweetations (27) Metrics

Eunjeong Park   1 , PhD ;   Hyuk-Jae Chang   2 , MD, PhD ;   Hyo Suk Nam   3 , MD, PhD

1 Cardiovascular Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea

2 Department of Cardiology, Yonsei University College of Medicine, Seoul, Republic of Korea

3 Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea

Corresponding Author:

  • Hyo Suk Nam, MD, PhD
  • Department of Neurology
  • Yonsei University College of Medicine
  • 50 Yonsei-ro, Seodaemoon-gu
  • Seoul, 03722
  • Republic of Korea
  • Phone: 82 2-2228-1617
  • Fax: 82 2-393-0705
  • Email: hsnam@yuhs.ac