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

Reviews in Medical Informatics (93) Secondary Use of Clinical Data for Research and Surveillance (375) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (591) Decision Support for Health Professionals (1210) Clinical Information and Decision Making (1434) Innovations and Technology in Cancer Care (431) Machine Learning (1501) Electronic Health Records (1068)

Published on in Vol 10, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33182, first published .
Machine Learning–Based Short-Term Mortality Prediction Models for Patients With Cancer Using Electronic Health Record Data: Systematic Review and Critical Appraisal

Machine Learning–Based Short-Term Mortality Prediction Models for Patients With Cancer Using Electronic Health Record Data: Systematic Review and Critical Appraisal

Machine Learning–Based Short-Term Mortality Prediction Models for Patients With Cancer Using Electronic Health Record Data: Systematic Review and Critical Appraisal

Authors of this article:

Sheng-Chieh Lu1 Author Orcid Image ;   Cai Xu1 Author Orcid Image ;   Chandler H Nguyen2 Author Orcid Image ;   Yimin Geng3 Author Orcid Image ;   André Pfob4 Author Orcid Image ;   Chris Sidey-Gibbons1 Author Orcid Image
Article Authors Cited by (22) Tweetations (25) Metrics

Sheng-Chieh Lu   1 , PhD ;   Cai Xu   1 , PhD ;   Chandler H Nguyen   2 , BS ;   Yimin Geng   3 , MSLS ;   André Pfob   4 , MD ;   Chris Sidey-Gibbons   1 , PhD

1 Department of Symptom Research, The University of Texas MD Anderson Cancer Center, Houston, TX, United States

2 McGovern Medical School, University of Texas Health Science Center, Houston, TX, United States

3 Research Medical Library, The University of Texas MD Anderson Cancer Center, Houston, TX, United States

4 Department of Obstetrics and Gynecology, Heidelberg University Hospital, Heidelberg, Germany

Corresponding Author:

  • Chris Sidey-Gibbons, PhD
  • Department of Symptom Research
  • The University of Texas MD Anderson Cancer Center
  • 6565 MD Anderson Boulevard
  • Houston, TX, 77030
  • United States
  • Phone: 1 713 794 4453
  • Fax: 1 713 745 3475
  • Email: cgibbons@mdanderson.org