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

Machine Learning (1990) Mobile Health (mhealth) (3366) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (599) Mobile Apps for Cancer Care and Cancer Prevention and Screening (255)

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

Journals

  1. Zeinali N, Youn N, Albashayreh A, Fan W, Gilbertson White S. Machine Learning Approaches to Predict Symptoms in People With Cancer: Systematic Review. JMIR Cancer 2024;10:e52322 View
  2. Schläpfer S, Schneider F, Santhanam P, Eicher M, Kowatsch T, Witt C, Barth J. Engagement With a Relaxation and Mindfulness Mobile App Among People With Cancer: Exploratory Analysis of Use Data and Self-Reports From a Randomized Controlled Trial. JMIR Cancer 2024;10:e52386 View

Conference Proceedings

  1. Singh S, Sharma S. 2023 International Conference on Computational Intelligence, Communication Technology and Networking (CICTN). A Bibliometric Analysis of Sleep Pattern Prediction of Breast Cancer Survivors Using VOSviewer View