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

Non-randomized Protocols and Methods (ehealth) (415) Opioid and Related Substance Abuse Crisis (67) Substance Abuse (268) Machine Learning (960) mHealth for Wellness, Behavior Change and Prevention (2210) mHealth for Treatment Adherence (321) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1002) mHealth for Rehabilitation (173)

Published on in Vol 10 , No 12 (2021) :December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29563, first published .
Prospective Prediction of Lapses in Opioid Use Disorder: Protocol for a Personal Sensing Study

Prospective Prediction of Lapses in Opioid Use Disorder: Protocol for a Personal Sensing Study

Prospective Prediction of Lapses in Opioid Use Disorder: Protocol for a Personal Sensing Study

Authors of this article:

Hannah Moshontz 1 Author Orcid Image ;   Alejandra J Colmenares 1 Author Orcid Image ;   Gaylen E Fronk 1 Author Orcid Image ;   Sarah J Sant'Ana 1 Author Orcid Image ;   Kendra Wyant 1 Author Orcid Image ;   Susan E Wanta 1 Author Orcid Image ;   Adam Maus 2 Author Orcid Image ;   David H Gustafson Jr 2 Author Orcid Image ;   Dhavan Shah 2, 3 Author Orcid Image ;   John J Curtin 1 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics
Hannah Moshontz 1 , PhD ;   Alejandra J Colmenares 1 , BA ;   Gaylen E Fronk 1 , MS ;   Sarah J Sant'Ana 1 , MS ;   Kendra Wyant 1 , BA ;   Susan E Wanta 1 , MA ;   Adam Maus 2 , MS ;   David H Gustafson Jr 2 , BA ;   Dhavan Shah 2, 3 , PhD ;   John J Curtin 1 , PhD

1 Department of Psychology , University of Wisconsin-Madison , Madison , WI , US

2 Center for Health Enhancement Systems Studies , College of Engineering , University of Wisconsin-Madison , Madison , WI , US

3 School of Journalism and Mass Communication , University of Wisconsin-Madison , Madison , WI , US

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