Classification of major depressive disorder via multi-site weighted LASSO model

D Zhu, BC Riedel, N Jahanshad… - … Image Computing and …, 2017 - Springer
Large-scale collaborative analysis of brain imaging data, in psychiatry and neurology, offers
a new source of statistical power to discover features that boost accuracy in disease
classification, differential diagnosis, and outcome prediction. However, due to data privacy
regulations or limited accessibility to large datasets across the world, it is challenging to
efficiently integrate distributed information. Here we propose a novel classification
framework through multi-site weighted LASSO: each site performs an iterative weighted …

[PDF][PDF] Classification of Major Depressive Disorder

IH Stein, D Dima, J Cole, CHY Fu, H Walter, IM Veer… - academia.edu
Large-scale collaborative analysis of brain imaging data, in psychiatry and neurology, offers
a new source of statistical power to discover features that boostaccuracy in disease
classification, differential diagnosis, and outcome prediction. However, due to data privacy
regulations or limited accessibilitytolarge datasetsacrossthe world, it is
challengingtoefficiently integrate distributed information. Here we propose a novel
classification framework through multi-site weighted LASSO. The basic idea is that each site …
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