Machine Learning-based Classification of Symptom Clusters and Online CBT
Recruiting now · Not applicable
Conditions studied: Depression and Anxiety Symptom
In brief
To breakthrough the bottleneck identified, we will conduct a cross-sectional study to develop a symptom clustering model for depression and anxiety. A wide range of statistical methods as well as machine learning approaches were explored, and a cohesive hierarchical clustering algorithm will be used. After developing the model, a symptom-matched intervention program based on problem solving therapy will be formulated. We are supposed to examine whether its use for personalizing symptom-matched psychological treatment can lead to improved patient outcomes, compared with usual care. This project is expected to provide a new and precise method for the emotion management, which will provide a standardized intervention pathway combining screening with treatment for the management of depression symptom and anxiety symptom. A preciser intervention matched to individual symptoms may provide important insight in improving patient outcome as well as a standardized mood management pathway targeting to the early detection and intervention for community residents.
Key facts
- Study ID
- NCT06350201
- Run by
- Wuhan Mental Health Centre
- People needed
- 380
- Starts
- 2025-09-01
- Expected to finish
- 2026-12-01
- Last updated by the study team
- 2026-05-12
Who can join
Age: 18 and older, up to 64. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- Aged between 18 and 64 years. PHQ-9 ≥10 and/or GAD-7 ≥8 at baseline assessment defined as the threshold for caseness.
You may not qualify if…
- People will be excluded if they meet any of the following criteria:
- They are receiving psychological therapy during an interview for any mental health issue;
- currently acutely suicidal or have attempted suicide in the past 2 months, as indicated by PHQ-9 item 9;
- cognitively impaired or diagnosed with bipolar disorder or psychosis or experiencing psychotic symptoms; d) dependent on alcohol or drugs; e) living with an unstable or acute medical illness that would interfere with trial participation.
Where it is running
- Renmin Hospital of Wuhan University — Wuhan, China (enrolling)
Full record on ClinicalTrials.gov
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