Cargando…
Automatic Schizophrenia Detection Using Multimodality Media via a Text Reading Task
Schizophrenia is a crippling chronic mental disease that affects people worldwide. In this work, an automatic schizophrenia detection algorithm is proposed based on the reading deficit of schizophrenic patients. From speech and video modalities, the automatic schizophrenia detection algorithm illust...
Autores principales: | Zhang, Jing, Yang, Hui, Li, Wen, Li, Yuanyuan, Qin, Jing, He, Ling |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9331283/ https://www.ncbi.nlm.nih.gov/pubmed/35911987 http://dx.doi.org/10.3389/fnins.2022.933049 |
Ejemplares similares
-
Automatic detection of cyberbullying in social media text
por: Van Hee, Cynthia, et al.
Publicado: (2018) -
Sch-net: a deep learning architecture for automatic detection of schizophrenia
por: Fu, Jia, et al.
Publicado: (2021) -
A Selective Review of Multimodal Fusion Methods in Schizophrenia
por: Sui, Jing, et al.
Publicado: (2012) -
A High-Robust Automatic Reading Algorithm of Pointer Meters Based on Text Detection
por: Li, Zhu, et al.
Publicado: (2020) -
Effects of Brain Atlases and Machine Learning Methods on the Discrimination of Schizophrenia Patients: A Multimodal MRI Study
por: Zang, Jinyu, et al.
Publicado: (2021)