Development of a Cohesive Predictive Model for Substance Use Disorder Rehabilitation Using Passive Digital Biomarkers, Psychological Assessments, and Automated Facial Emotion Recognition: Protocol for a Prospective Cohort Study

Authors

David Fernández-Quezada (ORCID: https://orcid.org/0000-0002-6943-7492)
Diana Fernández (ORCID: https://orcid.org/0000-0002-3640-4870)
Andrea P. Garzón‐Partida (ORCID: https://orcid.org/0000-0001-9102-1971)
Sonia Luquı́n (ORCID: https://orcid.org/0000-0003-0911-6424)
Joaquı́n Garcı́a‐Estrada (ORCID: https://orcid.org/0000-0002-9342-2928)
Kimberly Magaña-Plascencia (ORCID: https://orcid.org/0009-0004-8196-7359)

Institutions

Universidad de Guadalajara (MX)

Publication Details

Journal: JMIR Research Protocols
Published: 2025-05-27
DOI: https://doi.org/10.2196/71374
Citations: 1
Primary Topic: Mental Health Research Topics
Type: article
Field-Weighted Citation Impact: 2.12

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article

Development of a Cohesive Predictive Model for Substance Use Disorder Rehabilitation Using Passive Digital Biomarkers, Psychological Assessments, and Automated Facial Emotion Recognition: Protocol for a Prospective Cohort Study

David Fernández-Quezada, Diana Fernández, Andrea P. Garzón‐Partida, Sonia Luquı́n et al.

May 27, 2025

1 citations

JMIR Research Protocols

Mental Health Research Topics

2.12

article

Development of a Cohesive Predictive Model for Substance Use Disorder Rehabilitation Using Passive Digital Biomarkers, Psychological Assessments, and Automated Facial Emotion Recognition: Protocol for a Prospective Cohort Study

David Fernández-Quezada, Diana Fernández, Andrea P. Garzón‐Partida, Sonia Luquı́n, Joaquı́n Garcı́a‐Estrada, Kimberly Magaña-Plascencia

May 27, 2025article en

1 citations

Abstract

No abstract available for this paper.

JMIR Research ProtocolsVol. 14

Universidad de Guadalajara (MX)

Good health and well-being

Openalex Percentile: Top 14%

Mental Health Research Topics

2.12

DOI Open Access PDF OpenAlex

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