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

Machine Learning (1501) Artificial Intelligence (1421) Clinical Information and Decision Making (1434) Computer-Aided Diagnosis (135) Decision Support for Health Professionals (1210) Hypertension Prevention and Treatment (229)

Published on in Vol 9, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19739, first published .
An Application of Machine Learning to Etiological Diagnosis of Secondary Hypertension: Retrospective Study Using Electronic Medical Records

An Application of Machine Learning to Etiological Diagnosis of Secondary Hypertension: Retrospective Study Using Electronic Medical Records

An Application of Machine Learning to Etiological Diagnosis of Secondary Hypertension: Retrospective Study Using Electronic Medical Records

Authors of this article:

Xiaolin Diao1 Author Orcid Image ;   Yanni Huo1 Author Orcid Image ;   Zhanzheng Yan1 Author Orcid Image ;   Haibin Wang1 Author Orcid Image ;   Jing Yuan2 Author Orcid Image ;   Yuxin Wang1 Author Orcid Image ;   Jun Cai3 Author Orcid Image ;   Wei Zhao2 Author Orcid Image
Article Authors Cited by (14) Tweetations (1) Metrics

Xiaolin Diao   1 * , MS ;   Yanni Huo   1 * , MS ;   Zhanzheng Yan   1 , MS ;   Haibin Wang   1 , ME ;   Jing Yuan   2 , ME ;   Yuxin Wang   1 , MS ;   Jun Cai   3 , MD ;   Wei Zhao   2 , PhD

1 Department of Information Center, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

2 Department of Information Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

3 Hypertension Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

*these authors contributed equally

Corresponding Author:

  • Wei Zhao, PhD
  • Department of Information Center, Fuwai Hospital
  • National Center for Cardiovascular Diseases
  • Chinese Academy of Medical Sciences and Peking Union Medical College
  • 167 Beilishi Road
  • Beijing, 100037
  • China
  • Phone: 86 1-333-119-2899
  • Email: zw@fuwai.com