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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Detalles Bibliográficos
Autores principales: Prasad, Niranjani, Chien, Isabel, Regan, Tim, Enrique, Angel, Palacios, Jorge, Keegan, Dessie, Munir, Usman, Tanno, Ryutaro, Richardson, Hannah, Nori, Aditya, Richards, Derek, Doherty, Gavin, Belgrave, Danielle, Thieme, Anja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681250/
https://www.ncbi.nlm.nih.gov/pubmed/38011176
http://dx.doi.org/10.1371/journal.pone.0272685

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681250/
https://www.ncbi.nlm.nih.gov/pubmed/38011176
http://dx.doi.org/10.1371/journal.pone.0272685

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