Back to search

Article

Towards automating the harmonization of diverse mental health scales: a comparison of large language models and human judgements

2026-07-24

Abstract excerpt

<p>Combining existing mental health datasets offers considerable value, making it possible to answer new research questions, increase statistical power, and replicate findings across different populations. However, a barrier to this process is that different research teams often use different measures/scales when collecting mental health data and when monitoring or measuring patient/participant outcomes. This stud...

Topics

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

Identifiers and source

Literature Corpus work
bda1774b-4a88-5d90-a0cd-b3f8893e9a30
DOI
10.31234/osf.io/5r7eq_v1
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.
Towards automating the harmonization of diverse mental health scales: a comparison of large language models and human judgementsDOI 10.31234/osf.io/5r7eq_v1
Select a neighboring publication to make it the new centre.