Accessibility settings

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

Cancer Prognosis Models and Machine Learning (142) Clinical Information and Decision Making (3890) New Methods (1869) Innovations and Technology in Cancer Care (707) Emotional, Social, Psychological Support for Cancer (346) Machine Learning (3340) Medication Adherence (180)

Published on in Vol 12 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/92899, first published .
Radiologist operating CT scanner with patient lying inside

Psychosocial Distress and Radiation Treatment Interruptions in Patients With Cancer Using Machine Learning and Regression: Retrospective Cohort Study

Psychosocial Distress and Radiation Treatment Interruptions in Patients With Cancer Using Machine Learning and Regression: Retrospective Cohort Study

Authors of this article:

Soheil Hashtarkhani1, 2 Author Orcid Image ;   Christopher L Brett3 Author Orcid Image ;   Fekede Asefa Kumsa4 Author Orcid Image ;   Rezaur Rashid1 Author Orcid Image ;   Parnian Kheirkhah Rahimabad4 Author Orcid Image ;   Saba Kheirinejad1 Author Orcid Image ;   Robert L Davis1 Author Orcid Image ;   David L Schwartz4, 5 Author Orcid Image ;   Arash Shaban-Nejad1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Soheil Hashtarkhani   1, 2 , PhD ;   Christopher L Brett   3 , MD ;   Fekede Asefa Kumsa   4 , PhD ;   Rezaur Rashid   1 , PhD ;   Parnian Kheirkhah Rahimabad   4 , MD, PhD ;   Saba Kheirinejad   1 , PhD ;   Robert L Davis   1 , MD, MPH ;   David L Schwartz   4, 5 * , MD ;   Arash Shaban-Nejad   1 * , MPH, PhD

1 Center for Biomedical Informatics, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States

2 Health Equity Program, Rhodes College, Memphis, TN, United States

3 University of Tennessee Graduate School of Medicine, Knoxville, TN, United States

4 Department of Radiation Oncology, University of Tennessee Health Science Center, College of Medicine, Memphis, TN, United States

5 Department of Preventive Medicine, University of Tennessee Health Science Center, College of Medicine, Memphis, TN, United States

*these authors contributed equally

Corresponding Author:

  • Arash Shaban-Nejad, MPH, PhD
  • Center for Biomedical Informatics, College of Medicine
  • University of Tennessee Health Science Center
  • 50 N Dunlap Street
  • Memphis, TN 38103
  • United States
  • Phone: 1 9012875836
  • Email: ashabann@uthsc.edu