Efficacy of the Mobile Application for Prediction and Prevention of Mood Episode Recurrence Based on Machine Learning
NCT05400785 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 93
Last updated 2025-03-17
Summary
This study was designed to evaluate the efficacy of the mobile application named Circadian Rhythm for Mood (CRM), which was developed to prevent recurring episodes of mood disorders (major depressive disorders, bipolar disorders type 1 and 2) based on machine learning.
Conditions
- Major Depressive Disorder
- Bipolar 1 Disorder
- Bipolar II Disorder
Interventions
- OTHER
-
Circadian Rhythms for Mood (CRM) application - Active
The study subjects participating in this clinical trial wear wearable activity tracker 24 hours a day for a continuous period of time and run the CRM app once a day to check their conditions (feelings, vitality, sleep, etc.) in the Daily Symptom Assessment (eMoodChart). The active intervention group are provided with mood prediction results and instructions as feedback through the 'life report' and push notification in the application.
- OTHER
-
Circadian Rhythms for Mood (CRM) application - Sham
The study subjects assigned to the sham intervention group are provided with feedbacks operated by dummy algorithm. The application is visually indistinguishable from active CRM, and it is designed to minimize behavioral change.
Sponsors & Collaborators
-
Korea University Guro Hospital
collaborator OTHER -
Korea University Ansan Hospital
collaborator OTHER -
Pusan National University Hospital
collaborator OTHER -
Inje University Ilsan Paik Hospital
collaborator OTHER -
Hucircadian
lead INDUSTRY
Study Design
- Allocation
- RANDOMIZED
- Purpose
- PREVENTION
- Masking
- TRIPLE
- Model
- PARALLEL
Eligibility
- Min Age
- 19 Years
- Max Age
- 70 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2022-05-27
- Primary Completion
- 2023-12-21
- Completion
- 2023-12-21
Countries
- South Korea
Study Locations
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