Cargando…
Generalizability of machine learning for classification of schizophrenia based on resting‐state functional MRI data
Machine learning has increasingly been applied to classification of schizophrenia in neuroimaging research. However, direct replication studies and studies seeking to investigate generalizability are scarce. To address these issues, we assessed within‐site and between‐site generalizability of a mach...
Autores principales: | Cai, Xin‐Lu, Xie, Dong‐Jie, Madsen, Kristoffer H., Wang, Yong‐Ming, Bögemann, Sophie Alida, Cheung, Eric F. C., Møller, Arne, Chan, Raymond C. K. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268030/ https://www.ncbi.nlm.nih.gov/pubmed/31571320 http://dx.doi.org/10.1002/hbm.24797 |
Ejemplares similares
-
On the generalizability of resting-state fMRI machine learning classifiers
por: Huf, Wolfgang, et al.
Publicado: (2014) -
Vocal markers of schizophrenia: assessing the generalizability of machine learning models and their clinical applicability
por: Parola, A., et al.
Publicado: (2023) -
High Classification Accuracy for Schizophrenia with Rest and Task fMRI Data
por: Du, Wei, et al.
Publicado: (2012) -
Cross-cohort generalizability of deep and conventional machine learning for MRI-based diagnosis and prediction of Alzheimer’s disease
por: Bron, Esther E., et al.
Publicado: (2021) -
Successful classification of cocaine dependence using brain imaging: a generalizable machine learning approach
por: Mete, Mutlu, et al.
Publicado: (2016)