drugset / Trial / NCT04839198
Using Machine Learning to Develop Just-in-Time Adaptive Interventions for Smoking Cessation
Completed
60 enrolled
The University of Texas Health Science Center, Houston
National Institute on Drug Abuse (NIDA) · collab
RandomizedParallel-groupOpen-labelTreatment
Summary
The purpose of this study is to evaluate the feasibility and preliminary effectiveness of delivering a personalized, just-in-time adaptive intervention driven by machine learning prediction of smoking lapse risk in real time.
Timeline
- Start
- 2024-02-06
- Primary completion
- 2024-11-22
- Completion
- 2024-11-22
Drugs
| Evaluation | Drug | Modality | Dose | Route |
|---|---|---|---|---|
| Background | Nicotine | Unknown | — | — |
Indications
No indication recorded.