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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Bibliografische Detailangaben

Hauptverfasser:	Niranjani Prasad, Isabel Chien, Tim Regan, Angel Enrique, Jorge Palacios, Dessie Keegan, Usman Munir, Ryutaro Tanno, Hannah Richardson, Aditya Nori, Derek Richards, Gavin Doherty, Danielle Belgrave, Anja Thieme
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Public Library of Science (PLoS) 2023-01-01
Schriftenreihe:	PLoS ONE
Online-Zugang:	https://doi.org/10.1371/journal.pone.0272685
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