Published on in Vol 23, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27798, first published .
Predicting the Mortality and Readmission of In-Hospital Cardiac Arrest Patients With Electronic Health Records: A Machine Learning Approach

Predicting the Mortality and Readmission of In-Hospital Cardiac Arrest Patients With Electronic Health Records: A Machine Learning Approach

Predicting the Mortality and Readmission of In-Hospital Cardiac Arrest Patients With Electronic Health Records: A Machine Learning Approach

Chien-Yu Chi   1 * , MD ;   Shuang Ao   2 * , PhD ;   Adrian Winkler   2 , BEng ;   Kuan-Chun Fu   2 , MSc ;   Jie Xu   2 , PhD ;   Yi-Lwun Ho   3 , MD ;   Chien-Hua Huang   4 , MD ;   Rohollah Soltani   2 , MSc

1 Department of Emergency Medicine, Yunlin Branch, National Taiwan University Hospital, Yunlin, Taiwan

2 Knowtions Research, Toronto, ON, Canada

3 Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan

4 Department of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan

*these authors contributed equally

Corresponding Author:

  • Chien-Hua Huang, MD
  • Department of Emergency Medicine
  • National Taiwan University Hospital
  • #7 Chung-Shan South Road
  • Taipei, 100
  • Taiwan
  • Phone: 886 0972651304
  • Email: chhuang5940@ntu.edu.tw