Cargando…
Interpretation of deep non-linear factorization for autism
Autism, a neurodevelopmental disorder, presents significant challenges for diagnosis and classification. Despite the widespread use of neural networks in autism classification, the interpretability of their models remains a crucial issue. This study aims to address this concern by investigating the...
Autores principales: | Chen, Boran, Yin, Bo, Ke, Hengjin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10325632/ https://www.ncbi.nlm.nih.gov/pubmed/37426104 http://dx.doi.org/10.3389/fpsyt.2023.1199113 |
Ejemplares similares
-
Environmental Factors in Autism
por: Grabrucker, Andreas M.
Publicado: (2013) -
From Multisensory Assessment to Functional Interpretation of Social Behavioral Phenotype in Transgenic Mouse Models for Autism Spectrum Disorders
por: Arakawa, Hiroyuki
Publicado: (2020) -
Illuminating the Black Box: Interpreting Deep Neural Network Models for Psychiatric Research
por: Sheu, Yi-han
Publicado: (2020) -
Editorial: Environmental risk factors in autism spectrum disorder
por: Matsuzaki, Hideo, et al.
Publicado: (2022) -
China Multi-Center Preschool Autism Project (CMPAP): Design and Methodologies to Identify Clinical Symptom Features and Biomarkers of Autism Spectrum Disorders
por: Yang, Ting, et al.
Publicado: (2021)