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 inter...

Full description

Saved in:
Bibliographic Details
Main Authors: Silvan Hornstein, Valerie Forman-Hoffman, Albert Nazander, Kristian Ranta, Kevin Hilbert
Format: article
Language:EN
Published: SAGE Publishing 2021
Subjects:
Online Access:https://doaj.org/article/a1c87f1e7a2d4da89785a980cb563b2c
Tags: Add Tag
No Tags, Be the first to tag this record!