Using Machine Learning to Develop Just-in-Time Adaptive Interventions for Smoking Cessation
Last updated on July 2021Recruitment
- Recruitment Status
- Not yet recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Smoking Cessation
- Type
- Interventional
- Phase
- Not Applicable
- Design
- Allocation: RandomizedIntervention Model: Parallel AssignmentMasking: None (Open Label)Primary Purpose: Treatment
Participation Requirements
- Age
- Between 18 years and 125 years
- Gender
- Both males and females
Description
Not Provided
Not Provided
Tracking Information
- NCT #
- NCT04839198
- Collaborators
- National Institute on Drug Abuse (NIDA)
- Investigators
- Principal Investigator: Emily Hebert, DrPH The University of Texas Health Science Center, Houston
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