Data Collection for Automatic Depression Identification in Spanish Speakers Using Deep Learning Algorithms: Protocol for a Case-Control Study

Authors

Luis A. Trejo (ORCID: https://orcid.org/0000-0001-9741-4581)
José Antonio Cantoral-Ceballos (ORCID: https://orcid.org/0000-0001-5597-939X)
Fresia Paloma Hernández-Moreno (ORCID: https://orcid.org/0000-0002-4867-2864)
Daniela Aguilar-De León (ORCID: https://orcid.org/0009-0004-6317-8188)
Luis F. Brenes (ORCID: https://orcid.org/0009-0003-9901-6140)

Institutions

Tecnológico de Monterrey (MX)

Publication Details

Journal: JMIR Research Protocols
Published: 2025-04-23
DOI: https://doi.org/10.2196/60439
Primary Topic: Emotion and Mood Recognition
Type: article
Field-Weighted Citation Impact: 0.00

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article

Data Collection for Automatic Depression Identification in Spanish Speakers Using Deep Learning Algorithms: Protocol for a Case-Control Study

Luis A. Trejo, José Antonio Cantoral-Ceballos, Fresia Paloma Hernández-Moreno, Daniela Aguilar-De León et al.

Apr 23, 2025

JMIR Research Protocols

Emotion and Mood Recognition

article

Data Collection for Automatic Depression Identification in Spanish Speakers Using Deep Learning Algorithms: Protocol for a Case-Control Study

Luis A. Trejo, José Antonio Cantoral-Ceballos, Fresia Paloma Hernández-Moreno, Daniela Aguilar-De León, Luis F. Brenes

April 23, 2025article en

Abstract

No abstract available for this paper.

JMIR Research ProtocolsVol. 14

Tecnológico de Monterrey (MX)

Quality Education

Openalex Percentile: Top 92%

Emotion and Mood Recognition

DOI Open Access PDF OpenAlex

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Data Collection for Automatic Depression Identification in Spanish Speakers Using Deep Learning Algorithms: Protocol for a Case-Control Study — Luis A. Trejo, José Antonio Cantoral-Ceballos, et al. · JMIR Research Protocols (2025) | TGRS Research Map | TGRS