Data-based Decision Rules to Personalize Depression Follow-up

Abstract Depression is a common mental illness with complex and heterogeneous progression dynamics. Risk grouping of depression treatment population based on their longitudinal patterns has the potential to enable cost-effective monitoring policy design. This paper establishes a rule-based method to...

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Bibliographic Details
Main Authors: Ying Lin, Shuai Huang, Gregory E. Simon, Shan Liu
Format: Article
Language:English
Published: Nature Publishing Group 2018-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-018-23326-1