Ignite Creation Date:
2024-05-06 @ 8:22 PM
Last Modification Date:
2024-10-26 @ 3:26 PM
Study NCT ID:
NCT06350201
Status:
NOT_YET_RECRUITING
Last Update Posted:
2024-04-09
First Post:
2024-04-01
Brief Title:
Machine Learning-based Classification of Symptom Clusters and Online CBT
Sponsor:
Wuhan Mental Health Centre
Organization:
Wuhan Mental Health Centre
Study Overview
Official Title:
Machine Learning-based Classification of Symptom Clusters and Matched Online Cognitive Behavior Intervention for Depression Symptom and Anxiety Symptom
Status:
NOT_YET_RECRUITING
Status Verified Date:
2024-04
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
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
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None