Deep learning for the prediction of clinical outcomes in internet-delivered CBT for depression and anxiety.
In treating depression and anxiety, just over half of all clients respond. Monitoring and obtaining early client feedback can allow for rapidly adapted treatment delivery and improve outcomes. This study seeks to develop a state-of-the-art deep-learning framework for predicting clinical outcomes in...
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| Autori principali: | , , , , , , , , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science (PLoS)
2023-01-01
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| Serie: | PLoS ONE |
| Accesso online: | https://doi.org/10.1371/journal.pone.0272685 |
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