Back to search

Article

Predictive Modelling of Depression Treatment Response using Individual Symptoms and Latent Factors

2025-09-18

Abstract excerpt

Machine learning models have increasingly been used to identify predictors of treatment response in depression, and it is hoped that they may eventually help with clinical decision making. However, the performance of these models has generally been poor. One possible reason is that they are typically trained to predict aggregate scores of several depression symptoms; by contrast, individual symptoms may behave dif...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
1f1793d0-3525-579a-b783-21ccbf83daa8
DOI
10.1101/2025.09.17.25335980
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Predictive Modelling of Depression Treatment Response using Individual Symptoms and Latent FactorsDOI 10.1101/2025.09.17.25335980
Select a neighboring publication to make it the new centre.