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

Machine Learning (1501) Clinical Information and Decision Making (1434) Decision Support for Health Professionals (1210) Clinical Cancer Research (88)

Published on in Vol 9, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27110, first published .
Prediction Model of Anastomotic Leakage Among Esophageal Cancer Patients After Receiving an Esophagectomy: Machine Learning Approach

Prediction Model of Anastomotic Leakage Among Esophageal Cancer Patients After Receiving an Esophagectomy: Machine Learning Approach

Prediction Model of Anastomotic Leakage Among Esophageal Cancer Patients After Receiving an Esophagectomy: Machine Learning Approach

Authors of this article:

Ziran Zhao1 Author Orcid Image ;   Xi Cheng2 Author Orcid Image ;   Xiao Sun3 Author Orcid Image ;   Shanrui Ma1 Author Orcid Image ;   Hao Feng1 Author Orcid Image ;   Liang Zhao1 Author Orcid Image
Article Authors Cited by (7) Tweetations (3) Metrics

Ziran Zhao   1 , MD ;   Xi Cheng   2 , MPH ;   Xiao Sun   3 , MPH ;   Shanrui Ma   1 , MD ;   Hao Feng   1 , MD ;   Liang Zhao   1 , MD

1 Thoracic Surgery Department, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

2 Department of Global Health Management, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States

3 Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States

Corresponding Author:

  • Liang Zhao, MD
  • Thoracic Surgery Department
  • National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital
  • Chinese Academy of Medical Sciences and Peking Union Medical College
  • Panjiayuan Nanli No 17
  • Beijing, 100021
  • China
  • Phone: 86 01087787150
  • Email: drzhaoliang@126.com