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

Machine Learning (1466) Clinical Informatics (1025) Clinical Information and Decision Making (1408) Decision Support for Health Professionals (1186)

Published on in Vol 8, No 3 (2020): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13075, first published .
Peak Outpatient and Emergency Department Visit Forecasting for Patients With Chronic Respiratory Diseases Using Machine Learning Methods: Retrospective Cohort Study

Peak Outpatient and Emergency Department Visit Forecasting for Patients With Chronic Respiratory Diseases Using Machine Learning Methods: Retrospective Cohort Study

Peak Outpatient and Emergency Department Visit Forecasting for Patients With Chronic Respiratory Diseases Using Machine Learning Methods: Retrospective Cohort Study

Authors of this article:

Junfeng Peng1 Author Orcid Image ;   Chuan Chen1 Author Orcid Image ;   Mi Zhou2 Author Orcid Image ;   Xiaohua Xie1 Author Orcid Image ;   Yuqi Zhou3 Author Orcid Image ;   Ching-Hsing Luo1 Author Orcid Image
Article Authors Cited by (11) Tweetations (1) Metrics

Junfeng Peng   1 * , BSc ;   Chuan Chen   1 * , PhD ;   Mi Zhou   2 , MD ;   Xiaohua Xie   1 , PhD ;   Yuqi Zhou   3 , MD ;   Ching-Hsing Luo   1 , MD, PhD

1 School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China

2 Surgical Intensive Care Unit, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China

3 Department of Respiratory and Critical Care Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China

*these authors contributed equally

Corresponding Author:

  • Ching-Hsing Luo, MD, PhD
  • School of Data and Computer Science
  • Sun Yat-sen University
  • National Supercomputing Guangzhou Center Bldg, 5th Fl
  • Guangzhou, 510006
  • China
  • Phone: 86 13265384134
  • Email: luojinx5@mail.sysu.edu.cn