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

Machine Learning (1501) Mobile Health (mhealth) (2982) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (505) Mobile Apps for Cancer Care and Cancer Prevention and Screening (210)

Published on in Vol 10, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30712, first published .
Understanding the Relationship Between Mood Symptoms and Mobile App Engagement Among Patients With Breast Cancer Using Machine Learning: Case Study

Understanding the Relationship Between Mood Symptoms and Mobile App Engagement Among Patients With Breast Cancer Using Machine Learning: Case Study

Understanding the Relationship Between Mood Symptoms and Mobile App Engagement Among Patients With Breast Cancer Using Machine Learning: Case Study

Authors of this article:

Anna N Baglione1 Author Orcid Image ;   Lihua Cai1 Author Orcid Image ;   Aram Bahrini1 Author Orcid Image ;   Isabella Posey2 Author Orcid Image ;   Mehdi Boukhechba1 Author Orcid Image ;   Philip I Chow3 Author Orcid Image
Article Authors Cited by (3) Tweetations (5) Metrics

Anna N Baglione   1 , BS, MS ;   Lihua Cai   1 , BS, MA, MS, PhD ;   Aram Bahrini   1 , BSc, ME, MS ;   Isabella Posey   2 , BS ;   Mehdi Boukhechba   1 , BS, MS, PhD ;   Philip I Chow   3 , BA, PhD

1 Department of Engineering Systems and Environment, University of Virginia, Charlottesville, VA, United States

2 Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, United States

3 Center for Behavioral Health & Technology, School of Medicine, University of Virginia, Charlottesville, VA, United States

Corresponding Author:

  • Anna N Baglione, BS, MS
  • Department of Engineering Systems and Environment
  • University of Virginia
  • Olsson Hall
  • 151 Engineer's Way
  • Charlottesville, VA, 22904
  • United States
  • Phone: 1 434 264 7484
  • Email: ab5bt@virginia.edu