Machine learning approaches for integrating clinical and imaging features in late‐life depression classification and response prediction
Objective Currently, depression diagnosis relies primarily on behavioral symptoms and signs, and treatment is guided by trial and error instead of evaluating associated underlying brain characteristics. Unlike past studies, we attempted to estimate accurate prediction models for late‐life depression...
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| Autores principales: | , , , , , |
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| Formato: | Artigo |
| Lenguaje: | inglés |
| Publicado: |
2015
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| Acceso en línea: | https://doi.org/10.1002/gps.4262 |
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