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Predictive modeling of treatment resistant depression using data from STAR*D and an independent clinical study
Identification of risk factors of treatment resistance may be useful to guide treatment selection, avoid inefficient trial-and-error, and improve major depressive disorder (MDD) care. We extended the work in predictive modeling of treatment resistant depression (TRD) via partition of the data from t...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5991746/ https://ncbi.nlm.nih.gov/pubmed/29879133 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0197268 |
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