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

Engagement with and Adherence to Digital Health Interventions, Law of Attrition (491)

Published on in Vol 21, No 9 (2019): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13617, first published .
Predicting Dropouts From an Electronic Health Platform for Lifestyle Interventions: Analysis of Methods and Predictors

Predicting Dropouts From an Electronic Health Platform for Lifestyle Interventions: Analysis of Methods and Predictors

Predicting Dropouts From an Electronic Health Platform for Lifestyle Interventions: Analysis of Methods and Predictors

Authors of this article:

Daniel Hansen Pedersen1 Author Orcid Image ;   Marjan Mansourvar2 Author Orcid Image ;   Camilla Sortsø1 Author Orcid Image ;   Thomas Schmidt2 Author Orcid Image
Article Authors Cited by (41) Tweetations (8) Metrics

Daniel Hansen Pedersen   1 , MSc ;   Marjan Mansourvar   2 , MSc, PhD ;   Camilla Sortsø   1 , MSc, PhD ;   Thomas Schmidt   2 , MSc, PhD

1 Liva Healthcare A/S, Copenhagen, Denmark

2 Centre of Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense, Denmark

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