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