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

Machine Learning (1501) Data Science (278) Big Data (245) Machine Learning (1501) Coronary Heart Disease (81)

Published on in Vol 8, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17257, first published .
Accurate Prediction of Coronary Heart Disease for Patients With Hypertension From Electronic Health Records With Big Data and Machine-Learning Methods: Model Development and Performance Evaluation

Accurate Prediction of Coronary Heart Disease for Patients With Hypertension From Electronic Health Records With Big Data and Machine-Learning Methods: Model Development and Performance Evaluation

Accurate Prediction of Coronary Heart Disease for Patients With Hypertension From Electronic Health Records With Big Data and Machine-Learning Methods: Model Development and Performance Evaluation

Authors of this article:

Zhenzhen Du1, 2 Author Orcid Image ;   Yujie Yang1, 3 Author Orcid Image ;   Jing Zheng4 Author Orcid Image ;   Qi Li1 Author Orcid Image ;   Denan Lin4 Author Orcid Image ;   Ye Li1 Author Orcid Image ;   Jianping Fan1 Author Orcid Image ;   Wen Cheng2 Author Orcid Image ;   Xie-Hui Chen5 Author Orcid Image ;   Yunpeng Cai1 Author Orcid Image
Article Authors Cited by (51) Tweetations Metrics

Zhenzhen Du   1, 2 * , MSc ;   Yujie Yang   1, 3 * , MSc ;   Jing Zheng   4 * , PhD ;   Qi Li   1 , MSc ;   Denan Lin   4 , MSc ;   Ye Li   1 , PhD ;   Jianping Fan   1 , PhD ;   Wen Cheng   2 , PhD ;   Xie-Hui Chen   5 , MSc ;   Yunpeng Cai   1 , PhD

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

2 Fiberhome Technologies College, Wuhan Research Institute of Posts and Telecommunications, Wuhan, China

3 University of Chinese Academy of Sciences, Beijing, China

4 Shenzhen Health Information Center, Shenzhen, China

5 FuWai Hospital, Chinese Academy of Medical Sciences, Shenzhen, China

*these authors contributed equally

Corresponding Author:

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