Integrating machining learning and multimodal neuroimaging to detect schizophrenia at the level of the individual - Lei, Du; Pinaya, Walter H. L.; Young, Jonathan; Amelsvoort, Therese; Marcelis, Machteld; Donohoe, Gary; Mothersill, David O.; Corvin, Aiden; Vieira, Sandra; Huang, Xiaoqi; Lui, Su; Scarpazza, Cristina; et al. (Human brain mapping, 2020)
Keywords: Abnormalities; Adult; Classification; Connectome; Covariance matrix; Data acquisition; Diagnostic imaging; Diagnostic software; Diagnostic systems; Diffusion Tensor Imaging; Feature extraction; Female; functional connectivity; Functional magnetic resonance imaging; graph theoretical analysis; Gray Matter - diagnostic imaging; Homogeneity; Humans; Image Processing, Computer-Assisted - methods; Learning algorithms; Machine Learning; Machining; Magnetic Resonance Imaging; Male; Mathematical analysis; Matrix algebra; Matrix methods; Medical imaging; Mental disorders; Middle Aged; Model accuracy; Multimodal Imaging - methods; Neural networks; Neural Pathways - diagnostic imaging; Neuroimaging; Neuroimaging - methods; Performance enhancement; Reproducibility of Results; Research facilities; Rest; Schizophrenia; Schizophrenia - diagnostic imaging; Structure-function relationships; Substantia alba; Substantia grisea; Support Vector Machine; Support vector machines; White Matter - diagnostic imaging; Young Adult; functional connectivity; schizophrenia; machine learning; graph theoretical analysis; neuroimaging