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

Non-randomized Protocols and Methods (ehealth) (671) mHealth for Wellness, Behavior Change and Prevention (3314) Fitness Trackers and Smart Pedometers/Accelerometers (665) Wearable Devices and Sensors (1133) Behavior Change (863) mHealth for Treatment Adherence (467) Decision Support for Health Professionals (1538)

Published on in Vol 10, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29758, first published .
Using Methods From Computational Decision-making to Predict Nonadherence to Fitness Goals: Protocol for an Observational Study

Using Methods From Computational Decision-making to Predict Nonadherence to Fitness Goals: Protocol for an Observational Study

Using Methods From Computational Decision-making to Predict Nonadherence to Fitness Goals: Protocol for an Observational Study

Authors of this article:

Marie McCarthy1 Author Orcid Image ;   Lili Zhang1 Author Orcid Image ;   Greta Monacelli1 Author Orcid Image ;   Tomas Ward1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

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