Predicting early user churn in a public digital weight loss intervention-Reference-Cited by-同舟云学术

Predicting early user churn in a public digital weight loss intervention

Published:2024-05-11 Issue: Volume: Page:1-16
ISSN:
Container-title:Proceedings of the CHI Conference on Human Factors in Computing Systems
language:
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Author:

Jakob Robert¹^ORCID,Lepper Nils¹^ORCID,Fleisch Elgar²^ORCID,Kowatsch Tobias³^ORCID

Affiliation:

1. Centre for Digital Health Interventions, ETH Zurich, Switzerland

2. Centre for Digital Health Interventions, ETH Zurich, Switzerland and University of St. Gallen, Switzerland

3. Institute for Implementation Science in Health Care, University of Zurich, Switzerland and School of Medicine, University of St.Gallen, Switzerland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613904.3642321

Reference87 articles.

1. A review and analysis of churn prediction methods for customer retention in telecom industries

2. Mobile Applications for Health and Wellness: A Systematic Review

3. Toward Health Information Technology that Supports Overweight/Obese Women in Addressing Emotion- and Stress-Related Eating

4. Objective User Engagement With Mental Health Apps: Systematic Search and Panel-Based Usage Analysis

5. The Use of a Smartphone App and an Activity Tracker to Promote Physical Activity in the Management of Chronic Obstructive Pulmonary Disease: Randomized Controlled Feasibility Study

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