Predicting therapy outcome in a digital mental health intervention for depression and anxiety: A machine learning approach

OBJECTIVE: Predicting the outcomes of individual participants for treatment interventions appears central to making mental healthcare more tailored and effective. However, little work has been done to investigate the performance of machine learning-based predictions within digital mental health inte...

Descripción completa

Detalles Bibliográficos
Autores principales: Hornstein, Silvan, Forman-Hoffman, Valerie, Nazander, Albert, Ranta, Kristian, Hilbert, Kevin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8637697/
https://www.ncbi.nlm.nih.gov/pubmed/34868624
http://dx.doi.org/10.1177/20552076211060659

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8637697/
https://www.ncbi.nlm.nih.gov/pubmed/34868624
http://dx.doi.org/10.1177/20552076211060659

Ejemplares similares