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

Web-based and Mobile Health Interventions (3304) Depression and Mood Disorders; Suicide Prevention (1364) Anxiety and Stress Disorders (1055) Machine Learning (1471) Myocardial Infarction (Heart Attack) (44) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (493)

Published on in Vol 20, No 10 (2018): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10754, first published .
Predicting Adherence to Internet-Delivered Psychotherapy for Symptoms of Depression and Anxiety After Myocardial Infarction: Machine Learning Insights From the U-CARE Heart Randomized Controlled Trial

Predicting Adherence to Internet-Delivered Psychotherapy for Symptoms of Depression and Anxiety After Myocardial Infarction: Machine Learning Insights From the U-CARE Heart Randomized Controlled Trial

Predicting Adherence to Internet-Delivered Psychotherapy for Symptoms of Depression and Anxiety After Myocardial Infarction: Machine Learning Insights From the U-CARE Heart Randomized Controlled Trial

Authors of this article:

John Wallert1 Author Orcid Image ;   Emelie Gustafson1 Author Orcid Image ;   Claes Held2, 3 Author Orcid Image ;   Guy Madison4 Author Orcid Image ;   Fredrika Norlund1 Author Orcid Image ;   Louise von Essen1 Author Orcid Image ;   Erik Martin Gustaf Olsson1 Author Orcid Image
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