Predicting individual clinical trajectories of depression with generative embedding

Predicting individual clinical trajectories of depression with generative embedding

Patients with major depressive disorder (MDD) show heterogeneous treatment response and highly variable clinical trajectories: while some patients experience swift recovery, others show relapsing-remitting or chronic courses. Predicting individual clinical trajectories at an early stage is a key cha...

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Bibliographic Details
Main Authors: Stefan Frässle, Andre F. Marquand, Lianne Schmaal, Richard Dinga, Dick J. Veltman, Nic J.A. van der Wee, Marie-José van Tol, Dario Schöbi, Brenda W.J.H. Penninx, Klaas E. Stephan
Format: Article
Language:English
Published: Elsevier 2020-01-01
Series:NeuroImage: Clinical
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158220300504

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http://www.sciencedirect.com/science/article/pii/S2213158220300504

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