Sparse deep neural networks on imaging genetics for schizophrenia case–control classification

Deep learning methods hold strong promise for identifying biomarkers for clinical application. However, current approaches for psychiatric classification or prediction do not allow direct interpretation of original features. In the present study, we introduce a sparse deep neural network (DNN) appro...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Jiayu, Li, Xiang, Calhoun, Vince D., Turner, Jessica A., van Erp, Theo G. M., Wang, Lei, Andreassen, Ole A., Agartz, Ingrid, Westlye, Lars T., Jönsson, Erik, Ford, Judith M., Mathalon, Daniel H., Macciardi, Fabio, O'Leary, Daniel S., Liu, Jingyu, Ji, Shihao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8090768/
https://www.ncbi.nlm.nih.gov/pubmed/33724588
http://dx.doi.org/10.1002/hbm.25387

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8090768/
https://www.ncbi.nlm.nih.gov/pubmed/33724588
http://dx.doi.org/10.1002/hbm.25387

Ejemplares similares