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

Non-randomized Protocols and Methods (ehealth) (540) Opioid and Related Substance Misuse (127) Substance Abuse (382) Machine Learning (1385) mHealth for Wellness, Behavior Change and Prevention (2743) mHealth for Treatment Adherence (384) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1309) mHealth for Rehabilitation (235)

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 Moshontz1 Author Orcid Image ;   Alejandra J Colmenares1 Author Orcid Image ;   Gaylen E Fronk1 Author Orcid Image ;   Sarah J Sant'Ana1 Author Orcid Image ;   Kendra Wyant1 Author Orcid Image ;   Susan E Wanta1 Author Orcid Image ;   Adam Maus2 Author Orcid Image ;   David H Gustafson Jr2 Author Orcid Image ;   Dhavan Shah2, 3 Author Orcid Image ;   John J Curtin1 Author Orcid Image
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