Machine Learning Model to Predict Assignment of Therapy Homework in Behavioral Treatments: Algorithm Development and Validation

Therapeutic homework is a core element of cognitive and behavioral interventions, and greater homework compliance predicts improved treatment outcomes. To date, research in this area has relied mostly on therapists' and clients' self-reports or studies carried out in academic settings, and...

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Veröffentlicht in:	JMIR formative research Jg. 7; S. e45156
Hauptverfasser:	Peretz, Gal, Taylor, C Barr, Ruzek, Josef I, Jefroykin, Samuel, Sadeh-Sharvit, Shiri
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Canada JMIR Publications 15.05.2023
Schlagworte:	Algorithms Artificial intelligence Clinical outcomes Datasets Decision making Homework Intervention Machine learning Mental health Natural language processing Original Paper Review boards Subject specialists Supervision Therapists Therapy Voice recognition deep learning natural language processing homework mental health therapy mHealth empirically-based practice behavioral treatment treatment fidelity intervention machine learning artificial intelligence
ISSN:	2561-326X, 2561-326X
Online-Zugang:	Volltext
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