Evidence map›Paper›PMID 39941249›Full record

ArticleDiagnostics (Basel, Switzerland)2025

Convolutional Neural Network for Depression and Schizophrenia Detection.

Carlos H Espino-Salinas, Huizilopoztli Luna-García, Alejandra Cepeda-Argüelles, Karina Trejo-Vázquez, Luis Alberto Flores-Chaires, Jaime Mercado Reyna, Carlos E Galván-Tejada, Claudia Acra-Despradel, Klinge Orlando Villalba-Condori

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Carlos H Espino-SalinasLaboratorio de Tecnologías Interactivas y Experiencia de Usuario, Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Zacatecas 98000, Mexico.ORCID 0000-0001-8092-1333
Huizilopoztli Luna-GarcíaLaboratorio de Tecnologías Interactivas y Experiencia de Usuario, Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Zacatecas 98000, Mexico.ORCID 0000-0001-5714-7482
Alejandra Cepeda-ArgüellesCentro de Investigación e Inovación Biomedica e Informática, Unidad Academica de Ingeniería Electrica, Zacatecas 98000, Mexico.ORCID 0009-0002-2151-6156
Karina Trejo-VázquezCentro de Investigación e Inovación Biomedica e Informática, Unidad Academica de Ingeniería Electrica, Zacatecas 98000, Mexico.ORCID 0009-0007-4894-6283
Luis Alberto Flores-ChairesLaboratorio de Tecnologías Interactivas y Experiencia de Usuario, Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Zacatecas 98000, Mexico.ORCID 0000-0003-3958-8959
Jaime Mercado ReynaLaboratorio de Tecnologías Interactivas y Experiencia de Usuario, Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Zacatecas 98000, Mexico.ORCID 0009-0009-3617-1243
Carlos E Galván-TejadaCentro de Investigación e Inovación Biomedica e Informática, Unidad Academica de Ingeniería Electrica, Zacatecas 98000, Mexico.ORCID 0000-0002-7635-4687
Claudia Acra-DespradelVicerrectorado de Investigación, Universidad Nacional Pedro Henríquez Ureña, Santo Domingo 10203, Dominican Republic.ORCID 0000-0002-6429-5675
Klinge Orlando Villalba-CondoriVicerrectorado de Investigación, Universidad Católica de Santa María, Arequipa 04002, Peru.ORCID 0000-0002-8621-7942

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

convolutional neural networksdepressiondiagnosticmotor activityschizophrenia

Identifiers

PMID39941249
PMCPMC11817135

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.