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Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media
The ability to explain why the model produced results in such a way is an important problem, especially in the medical domain. Model explainability is important for building trust by providing insight into the model prediction. However, most existing machine learning methods provide no explainabilit...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795347/ https://www.ncbi.nlm.nih.gov/pubmed/35106059 http://dx.doi.org/10.1007/s11280-021-00992-2 |