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

Machine Learning (1434) Stroke (161) Big Data (235) Clinical Information and Decision Making (1374) Electronic Health Records (1034) Bioinformatics Methods and Algorithms (13) Hypertension Prevention and Treatment (218)

Published on in Vol 9, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30277, first published .
Accurate Prediction of Stroke for Hypertensive Patients Based on Medical Big Data and Machine Learning Algorithms: Retrospective Study

Accurate Prediction of Stroke for Hypertensive Patients Based on Medical Big Data and Machine Learning Algorithms: Retrospective Study

Accurate Prediction of Stroke for Hypertensive Patients Based on Medical Big Data and Machine Learning Algorithms: Retrospective Study

Authors of this article:

Yujie Yang1, 2 Author Orcid Image ;   Jing Zheng3 Author Orcid Image ;   Zhenzhen Du1 Author Orcid Image ;   Ye Li1, 4 Author Orcid Image ;   Yunpeng Cai1 Author Orcid Image
Article Authors Cited by (11) Tweetations (4) Metrics

Yujie Yang   1, 2 * , MSc ;   Jing Zheng   3 * , PhD ;   Zhenzhen Du   1 , MSc ;   Ye Li   1, 4 , PhD ;   Yunpeng Cai   1 , PhD

1 Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

2 University of Chinese Academy of Sciences, Beijing, China

3 Shenzhen Health Information Center, Shenzhen, China

4 Joint Engineering Research Center for Health Big Data Intelligent Analysis Technology, Shenzhen, China

*these authors contributed equally

Corresponding Author:

  • Yunpeng Cai, PhD
  • Shenzhen Institute of Advanced Technology
  • Chinese Academy of Sciences
  • 1068 Xueyuan Blvd
  • Nanshan District
  • Shenzhen, 518055
  • China
  • Phone: 86 755-86392202
  • Fax: 86 755-86392299
  • Email: yp.cai@siat.ac.cn