Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47664, first published .
Development and Validation of Machine Learning–Based Models to Predict In-Hospital Mortality in Life-Threatening Ventricular Arrhythmias: Retrospective Cohort Study

Development and Validation of Machine Learning–Based Models to Predict In-Hospital Mortality in Life-Threatening Ventricular Arrhythmias: Retrospective Cohort Study

Development and Validation of Machine Learning–Based Models to Predict In-Hospital Mortality in Life-Threatening Ventricular Arrhythmias: Retrospective Cohort Study

Le Li   1 * , MD ;   Ligang Ding   1 * , MD ;   Zhuxin Zhang   1 , MD ;   Likun Zhou   1 , MD ;   Zhenhao Zhang   1 , MD ;   Yulong Xiong   1 , MD ;   Zhao Hu   1 , MD ;   Yan Yao   1 , MD

1 National Center for Cardiovascular Diseases, Fu Wai Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China

*these authors contributed equally

Corresponding Author:

  • Yan Yao, MD
  • National Center for Cardiovascular Diseases, Fu Wai Hospital
  • Peking Union Medical College
  • Chinese Academy of Medical Sciences
  • Beilishi Road 167
  • Beijing, 100037
  • China
  • Phone: 86 88322405
  • Email: ianyao@263.net.cn